Triple
T5342762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legion (2010 film) |
E123981
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Scott Stewart |
E512537
|
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: Scott Stewart | Statement: [Legion (2010 film), writer, Scott Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Stewart Context triple: [Legion (2010 film), writer, Scott Stewart]
-
A.
Scott Stewart
chosen
Scott Stewart is an American filmmaker and visual effects artist best known for directing supernatural action films such as "Legion" (2010).
-
B.
Todd Stewart
Todd Stewart is a collegiate sports administrator best known for serving as the athletic director at Western Kentucky University.
-
C.
David Stevens
David Stevens was an Australian screenwriter and director best known for co-writing the acclaimed film "Breaker Morant" and his work in film, television, and theatre.
-
D.
Michael Sturgis
Michael Sturgis is a member of the musical group Asia.
-
E.
Daniel Stewart
Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c5f82481908e9061d68c1e7496 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.