Triple
T17248370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devs |
E418684
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Zach Grenier |
E781257
|
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: Zach Grenier | Statement: [Devs, castMember, Zach Grenier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zach Grenier Context triple: [Devs, castMember, Zach Grenier]
-
A.
Zach Grenier
chosen
Zach Grenier is an American character actor known for his extensive work in film, television, and theater, including a prominent role on the legal drama series "The Good Wife."
-
B.
Zachary Thomas
Zachary Thomas is a musician best known as a former member and bassist of the indie rock band Okkervil River.
-
C.
Corey Clement
Corey Clement is an American football running back best known for his pivotal role in the Philadelphia Eagles’ trick-play touchdown, the “Philly Special,” in Super Bowl LII.
-
D.
Santiago Romo
Santiago Romo is a person notable enough to be recognized as a bearer of the surname Romo.
-
E.
Beau Dozier
Beau Dozier is an American songwriter and record producer known for his work with various pop and R&B artists.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e2569c081908ffd3ee9c76bcc17 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.