Triple
T7025149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Reid |
E162925
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Scribe text processing system
The Scribe text processing system is an early, influential document preparation and formatting program developed by Brian Reid that pioneered many concepts later used in systems like LaTeX.
|
E636830
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scribe text processing system | Statement: [Brian Reid, notableWork, Scribe text processing system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scribe text processing system Context triple: [Brian Reid, notableWork, Scribe text processing system]
-
A.
Kurzweil OCR (optical character recognition) systems
Kurzweil OCR (optical character recognition) systems are pioneering software tools that convert printed text into digital, machine-readable form, widely used for document digitization and accessibility for the visually impaired.
-
B.
“A Computer Program for Understanding Natural Language”
“A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
-
C.
Character repertoire description language (CREPDL)
Character repertoire description language (CREPDL) is an ISO/IEC 19757-7 standard for formally specifying and validating sets of permitted characters in XML and related document formats.
-
D.
On the Arrangement of Words
On the Arrangement of Words is an ancient rhetorical treatise by Dionysius of Halicarnassus that analyzes how word order and stylistic choices affect the clarity, harmony, and persuasive power of prose.
-
E.
CWEB literate programming system
The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scribe text processing system Triple: [Brian Reid, notableWork, Scribe text processing system]
Generated description
The Scribe text processing system is an early, influential document preparation and formatting program developed by Brian Reid that pioneered many concepts later used in systems like LaTeX.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scribe text processing system Target entity description: The Scribe text processing system is an early, influential document preparation and formatting program developed by Brian Reid that pioneered many concepts later used in systems like LaTeX.
-
A.
Kurzweil OCR (optical character recognition) systems
Kurzweil OCR (optical character recognition) systems are pioneering software tools that convert printed text into digital, machine-readable form, widely used for document digitization and accessibility for the visually impaired.
-
B.
“A Computer Program for Understanding Natural Language”
“A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
-
C.
Character repertoire description language (CREPDL)
Character repertoire description language (CREPDL) is an ISO/IEC 19757-7 standard for formally specifying and validating sets of permitted characters in XML and related document formats.
-
D.
On the Arrangement of Words
On the Arrangement of Words is an ancient rhetorical treatise by Dionysius of Halicarnassus that analyzes how word order and stylistic choices affect the clarity, harmony, and persuasive power of prose.
-
E.
CWEB literate programming system
The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77581e2a88190ad2ec9855772c6a5 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7768f12648190a8e9855af2458a94 |
completed | March 28, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c776bdf56c8190a9fa83d6f2697f1b |
completed | March 28, 2026, 6:35 a.m. |
Created at: March 27, 2026, 2:35 p.m.