Triple
T21654871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Whittlesey |
E534432
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Tobias Beecher |
—
|
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: Tobias Beecher | Statement: [Diane Whittlesey, worksWith, Tobias Beecher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobias Beecher Context triple: [Diane Whittlesey, worksWith, Tobias Beecher]
-
A.
Tobias Beecher
chosen
Tobias Beecher is a central character in the HBO prison drama "Oz," portrayed as a formerly privileged lawyer whose brutal experiences behind bars transform him psychologically and morally.
-
B.
Tobias Alcott
Tobias Alcott is a fictional character from the film "The Man from Elysian Fields," involved in the story’s exploration of morality, relationships, and the escort business.
-
C.
Nathaniel Hubbard
Nathaniel Hubbard is a relatively obscure individual whose name is notably recorded as a bearer of the Hubbard surname.
-
D.
Tobias Church
Tobias Church is a fictional crime lord and antagonist in the Arrowverse TV series "Arrow."
-
E.
Nathaniel Fuller
Nathaniel Fuller is a film editor best known for his work on the adventure drama movie "The Peanut Butter Falcon."
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59176b28819092384fc5f8968022 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.