Triple
T5042168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crime Wave |
E113569
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bryan Foy |
E74145
|
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: Bryan Foy | Statement: [Crime Wave, producer, Bryan Foy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan Foy Context triple: [Crime Wave, 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.
Bryan Devendorf
Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
-
D.
Greg Stillson
Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
-
E.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f746788190bf73b8b5069e89cb |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:37 p.m.