Triple
T2900985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greyhound |
E62651
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Bron Creative |
E140747
|
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: Bron Creative | Statement: [Greyhound, productionCompany, Bron Creative]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bron Creative Context triple: [Greyhound, productionCompany, Bron Creative]
-
A.
Bron Creative
chosen
Bron Creative is a film and television financing and production company known for backing a range of high-profile studio and independent projects.
-
B.
Bruno Poet
Bruno Poet is an acclaimed British lighting designer known for his innovative work in theatre, opera, and live music productions.
-
C.
Trevor Timm
Trevor Timm is a journalist and civil liberties advocate known for his work on press freedom, government transparency, and digital rights.
-
D.
Sam Dew
Sam Dew is an American singer, songwriter, and producer known for his work across R&B, hip-hop, and pop with artists such as Wale, Rihanna, and Taylor Swift.
-
E.
Peter Bonerz
Peter Bonerz is an American actor and director best known for his role as Dr. Jerry Robinson on the classic television sitcom "The Bob Newhart Show."
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b261c081909b66b21520b4731b |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318f2c908190aa10aa93f8fb139c |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:10 p.m.