Triple
T19521490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Alan Grey |
E488410
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brad Grey |
—
|
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: Brad Grey | Statement: [Brad Alan Grey, name, Brad Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Grey Context triple: [Brad Alan Grey, name, Brad Grey]
-
A.
Brad Grey
chosen
Brad Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing the studio during a major period of commercial and critical success.
-
B.
Scott Caan
Scott Caan is an American actor known for his roles in films like the Ocean's trilogy and the TV series "Hawaii Five-0."
-
C.
Mark Robarts
Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
-
D.
Mike Ross
Mike Ross is a brilliant but unlicensed lawyer with a photographic memory who becomes a central figure at a prestigious New York law firm in the TV series "Suits."
-
E.
Mike Ross
Mike Ross is an American sculptor best known for his large-scale public installations, including monumental works featured in unconventional art exhibitions.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.