Triple
T20141064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velvet Buzzsaw |
E491164
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | John Gilroy |
—
|
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: John Gilroy | Statement: [Velvet Buzzsaw, editedBy, John Gilroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gilroy Context triple: [Velvet Buzzsaw, editedBy, John Gilroy]
-
A.
John Gilroy
chosen
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
B.
John Gregory
John Gregory is the seasoned and strict Spook who trains apprentices to fight supernatural creatures in Joseph Delaney’s Wardstone Chronicles series.
-
C.
John Gregory
John Gregory was a prominent American football coach best known for his successful stints in the Canadian Football League and various indoor football leagues.
-
D.
John Gregory
John Gregory was a prominent North American fur trader and explorer associated with the elite Beaver Club of Montreal in the late 18th and early 19th centuries.
-
E.
John McDonough
John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.