Triple
T14944033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wind and the Lion |
E372605
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Billy Williams |
E358152
|
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: Billy Williams | Statement: [The Wind and the Lion, cinematographyBy, Billy Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Williams Context triple: [The Wind and the Lion, cinematographyBy, Billy Williams]
-
A.
Billy Williams
Billy Williams is a Hall of Fame left fielder best known for his long, productive career with the Chicago Cubs during the 1960s and 1970s.
-
B.
Billy Williams
chosen
Billy Williams is an acclaimed British cinematographer best known for his Oscar-winning work on films such as "Gandhi" and his influential contributions to visual storytelling in cinema.
-
C.
Gary Willis
Gary Willis is a fictional character appearing in the film "Red Dust."
-
D.
Gary Willis
Gary Willis is an American jazz and fusion bassist best known as a co-founder of the band Tribal Tech and for his influential work on fretless bass technique.
-
E.
Troy Worrell
Troy Worrell is a video game industry figure best known as the founder of the development studio Interplay Productions.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd871188190afcba3be94dbfa94 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:38 a.m.