Triple
T4357154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowboy |
E98177
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
James Trombly
James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
|
E436218
|
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: James Trombly | Statement: [Cowboy, writer, James Trombly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Trombly Context triple: [Cowboy, writer, James Trombly]
-
A.
Ed Dorn
Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
-
B.
Robert McKean
Robert McKean was a son of American statesman and signer of the Declaration of Independence Thomas McKean.
-
C.
William Opdyke
William Opdyke is a computer scientist best known for pioneering the concept of code refactoring, including one of the earliest doctoral theses on the subject and contributions to the foundational work "Refactoring: Improving the Design of Existing Code."
-
D.
William Reynolds
William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
-
E.
William Reynolds
William Reynolds is a film editor known for his work on the 1960 adventure drama "Wild River."
- 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: James Trombly Triple: [Cowboy, writer, James Trombly]
Generated description
James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Trombly Target entity description: James Trombly is an author known for writing Western-themed works centered on cowboy life and culture.
-
A.
Ed Dorn
Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
-
B.
Robert McKean
Robert McKean was a son of American statesman and signer of the Declaration of Independence Thomas McKean.
-
C.
William Opdyke
William Opdyke is a computer scientist best known for pioneering the concept of code refactoring, including one of the earliest doctoral theses on the subject and contributions to the foundational work "Refactoring: Improving the Design of Existing Code."
-
D.
William Reynolds
William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
-
E.
William Reynolds
William Reynolds is a film editor known for his work on the 1960 adventure drama "Wild River."
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e501671c8190bf8a9998f46a9f3b |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5eeadd68881909820a75aaff9d8d5 |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef36f2bc8190a21e0f2fadbdd697 |
completed | March 14, 2026, 11:28 p.m. |
Created at: March 12, 2026, 11:16 p.m.