Triple
T21536029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Wax |
E531351
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bryan Foy |
—
|
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: Bryan Foy | Statement: [House of Wax, producer, Bryan Foy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan Foy Context triple: [House of Wax, producer, Bryan Foy]
-
A.
Bryan Foy
chosen
Bryan Foy was an American film producer and director, known as one of the pioneering figures of early sound cinema at Warner Bros.
-
B.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
C.
Mike Felumlee
Mike Felumlee is an American drummer best known for his work in the punk rock scene, including a stint with the band Alkaline Trio.
-
D.
Josh Folsom
Josh Folsom is a central crime-scene investigator character in the television series CSI: Vegas, known for his hands-on fieldwork and complex personal backstory.
-
E.
Mike Forney
Mike Forney is a daring but somewhat reckless helicopter pilot in the Korean War, featured as a key supporting figure in James A. Michener’s novel and its film adaptation.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0ce8d08190b3233d7117a9b1ca |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.