Triple
T9967522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Pope |
E195722
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Pope |
E195722
|
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: Bill Pope | Statement: [Bill Pope, name, Bill Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Pope Context triple: [Bill Pope, name, Bill Pope]
-
A.
Bill Pope
chosen
Bill Pope is an acclaimed American cinematographer best known for his dynamic, visually inventive work on major films such as The Matrix trilogy and the Spider-Man series.
-
B.
Phil Housley
Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
-
C.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
-
D.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.