Triple
T14989953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Legend (film score) |
E373806
|
entity |
| Predicate | conductor |
P20921
|
FINISHED |
| Object | Pete Anthony |
E1131518
|
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: Pete Anthony | Statement: [I Am Legend (film score), conductor, Pete Anthony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Anthony Context triple: [I Am Legend (film score), conductor, Pete Anthony]
-
A.
Pete Anthony
chosen
Pete Anthony is an American orchestral conductor and orchestrator known for his extensive work on major Hollywood film scores.
-
B.
Pete Miller
Pete Miller is a musician best known as a member of the Celtic rock band O'Malley's March.
-
C.
Pete Miller
Pete Miller is a character from the U.S. version of "The Office," introduced in the later seasons as a new employee at Dunder Mifflin Scranton.
-
D.
Pete Seibert
Pete Seibert was an American ski pioneer and World War II veteran best known for co-founding and developing the Vail ski area in Colorado into a major resort destination.
-
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc7f4b48190b95af06d443fa37c |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:53 a.m.