Triple
T21291824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoAnne Sellar |
E524810
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Annapurna Pictures |
—
|
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: Annapurna Pictures | Statement: [JoAnne Sellar, worksWith, Annapurna Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annapurna Pictures Context triple: [JoAnne Sellar, worksWith, Annapurna Pictures]
-
A.
Annapurna Pictures
chosen
Annapurna Pictures is an American film production company known for backing critically acclaimed, auteur-driven movies such as "Her," "Zero Dark Thirty," and "American Hustle."
-
B.
Rocky Mountain Pictures
Rocky Mountain Pictures is an American film distribution company known for handling independent and politically conservative or faith-based films.
-
C.
Everest Pictures
Everest Pictures is a film production company known for producing the psychological drama "David and Lisa."
-
D.
Benaroya Pictures
Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
-
E.
Troika Pictures
Troika Pictures is a film production company known for producing feature films such as the thriller "The Call" (2013).
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.