Triple
T16848226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear |
E409599
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Abby Elliott |
E1184938
|
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: Abby Elliott | Statement: [The Bear, leadActor, Abby Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abby Elliott Context triple: [The Bear, leadActor, Abby Elliott]
-
A.
Abby Elliott
chosen
Abby Elliott is an American actress and comedian best known for being a cast member on "Saturday Night Live" and for her roles in various television comedies.
-
B.
Abby Cunningham
Abby Cunningham is a scheming, ambitious businesswoman and one of the most iconic and central antagonists on the American prime-time soap opera *Knots Landing*.
-
C.
Samantha Albertson
Samantha Albertson is one of the four childhood friends at the heart of the coming-of-age film "Now and Then," whose experiences during a pivotal summer shape the story’s emotional core.
-
D.
Bethany Anne Lind
Bethany Anne Lind is an American actress known for her work in film, television, and theater, including roles in projects such as "Chaos Walking."
-
E.
Abby Everett Jaques
Abby Everett Jaques is a screenwriter best known for her work on the 2006 American Western thriller film "Seraphim Falls."
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1d555c8190883c82e562b7bfe9 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.