Triple
T9913510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Gunfight |
E185805
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Richard E. Lyons |
E591367
|
NE FINISHED |
How this triple was built (2 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: Richard E. Lyons | Statement: [A Gunfight, producer, Richard E. Lyons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard E. Lyons Context triple: [A Gunfight, producer, Richard E. Lyons]
-
A.
Richard E. Lyons
chosen
Richard E. Lyons was an American film producer best known for his work on classic Westerns and other Hollywood features in the mid-20th century.
-
B.
Alan V. Oppenheim
Alan V. Oppenheim is an American electrical engineer and MIT professor renowned for his pioneering contributions to digital signal processing and widely used textbooks in the field.
-
C.
Richard Clabaugh
Richard Clabaugh is a cinematographer and filmmaker known for his work on genre films, including the supernatural thriller "The Prophecy."
-
D.
E. B. Peebles
E. B. Peebles was a prominent local figure in Mobile, Alabama, whose contributions to the community led to the city’s main football stadium being named in his honor.
-
E.
Richard Lyon
Richard Lyon was a British-born American child actor best known for his roles in mid-20th-century films and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.