Triple
T19999176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bering Sea Gold |
E494272
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jeff Conroy |
—
|
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: Jeff Conroy | Statement: [Bering Sea Gold, executiveProducer, Jeff Conroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Conroy Context triple: [Bering Sea Gold, executiveProducer, Jeff Conroy]
-
A.
Jeff Conroy
chosen
Jeff Conroy is a television producer best known for his executive production work on the reality series "Storage Wars."
-
B.
Jim Conley
Jim Conley is a central character in the musical "Parade," depicted as a factory janitor whose testimony and ambiguous role are pivotal to the story’s exploration of justice and prejudice.
-
C.
Eric Conner
Eric Conner is a prominent Ethereum researcher and community member known for his key role in proposing and advocating the EIP-1559 fee market upgrade.
-
D.
Paul Conroy
Paul Conroy is the fictional American truck driver who becomes trapped in a coffin underground in the psychological thriller film "Buried."
-
E.
Chris Conrad
Chris Conrad is an American actor known for his roles in 1990s action and comedy films and various television series.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.