Triple
T22899501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bone Collector |
E568269
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | William Hoy |
—
|
NE NERFINISHED |
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: William Hoy | Statement: [The Bone Collector, editor, William Hoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hoy Context triple: [The Bone Collector, editor, William Hoy]
-
A.
William Hoy
chosen
William Hoy is a film editor known for his work on major Hollywood productions, particularly in the science fiction and action genres.
-
B.
John Pomeroy
John Pomeroy is a film editor known for his work on the satirical comedy movie "The Mouse That Roared."
-
C.
John Pomeroy
John Pomeroy is an American animator, producer, and director best known for his work with Don Bluth on films such as "The Secret of NIMH" and other influential animated features.
-
D.
William P. Wood
William P. Wood is an American author best known for writing crime and legal thrillers, including the novel that inspired the film "Rampage."
-
E.
William A. Wood
William A. Wood is an author best known for writing the book "The Perfect Wave."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.