Triple
T3065939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widows (2018 film) |
E62103
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Joe Walker |
E163045
|
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: Joe Walker | Statement: [Widows (2018 film), editor, Joe Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Walker Context triple: [Widows (2018 film), editor, Joe Walker]
-
A.
Joe Walker
Joe Walker was a pioneering American test pilot and astronaut known for setting altitude and speed records in experimental aircraft, including flights that reached the edge of space.
-
B.
Joe Walker
chosen
Joe Walker is a British film editor acclaimed for his work on major films such as "Sicario," "Arrival," and "Dune."
-
C.
Rob Walker
Rob Walker is a technology entrepreneur best known as a co-founder of the semiconductor company LSI Logic.
-
D.
Joseph Walker
Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
-
E.
Billy Walker
Billy Walker is a collegiate sports administrator best known for serving as the athletic director at American University, overseeing the university’s NCAA Division I athletic programs.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fc01dc81908fbdf7c1ef73afe4 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f878e1148190934ff7ed5a52b6ad |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.