Triple
T3068063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pose |
E62153
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Brad Falchuk |
E303079
|
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: Brad Falchuk | Statement: [Pose, executiveProducer, Brad Falchuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Falchuk Context triple: [Pose, executiveProducer, Brad Falchuk]
-
A.
Brad Falchuk
chosen
Brad Falchuk is an American television writer, director, and producer best known for co-creating series such as Glee, American Horror Story, and Scream Queens.
-
B.
Jason Michael Berman
Jason Michael Berman is a film producer known for his work on notable independent and studio projects, including the 2023 sports drama "Air."
-
C.
Adam Shulman
Adam Shulman is an American actor and jewelry designer best known as the husband of actress Anne Hathaway.
-
D.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
E.
Rob Cohen
Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.