Triple
T17675994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zsh |
E440644
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Paul Falstad
Paul Falstad is a software developer best known for creating the Z shell (zsh) and various educational physics and electronics simulations.
|
E1282478
|
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: Paul Falstad | Statement: [Zsh, developer, Paul Falstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Falstad Context triple: [Zsh, developer, Paul Falstad]
-
A.
Fred Severud
Fred Severud was a prominent structural engineer known for his innovative designs on major 20th-century buildings in the United States.
-
B.
Paul Falkenberg
Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
-
C.
Paul Grimstad
Paul Grimstad is a composer and musician known for his film scores, including his work on the independent drama "Heaven Knows What."
-
D.
Arne Emerson
Arne Emerson is an architect and design leader known for his prominent role at the innovative architecture firm Morphosis.
-
E.
Robert Eisele
Robert Eisele is an American screenwriter best known for co-writing the acclaimed historical drama film "The Great Debaters."
- 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: Paul Falstad Triple: [Zsh, developer, Paul Falstad]
Generated description
Paul Falstad is a software developer best known for creating the Z shell (zsh) and various educational physics and electronics simulations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Falstad Target entity description: Paul Falstad is a software developer best known for creating the Z shell (zsh) and various educational physics and electronics simulations.
-
A.
Fred Severud
Fred Severud was a prominent structural engineer known for his innovative designs on major 20th-century buildings in the United States.
-
B.
Paul Falkenberg
Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
-
C.
Paul Grimstad
Paul Grimstad is a composer and musician known for his film scores, including his work on the independent drama "Heaven Knows What."
-
D.
Arne Emerson
Arne Emerson is an architect and design leader known for his prominent role at the innovative architecture firm Morphosis.
-
E.
Robert Eisele
Robert Eisele is an American screenwriter best known for co-writing the acclaimed historical drama film "The Great Debaters."
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6cca54819094ea0bed1517724e |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022325d6108190975082abcdb21ce1 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022759531c8190a77c5dc4e3ccaee6 |
completed | May 11, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0227ff79d881908ad190b2665bc63d |
completed | May 11, 2026, 7:03 p.m. |
Created at: April 10, 2026, 10 a.m.