Triple
T12569958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw 3D |
E295573
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Jill Tuck |
E973308
|
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: Jill Tuck | Statement: [Saw 3D, mainCharacter, Jill Tuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Tuck Context triple: [Saw 3D, mainCharacter, Jill Tuck]
-
A.
Jill Tuck
chosen
Jill Tuck is a central character in the Saw horror film series, known as the ex-wife of John Kramer (the Jigsaw Killer) and a key figure in the continuation of his deadly legacy.
-
B.
Moira Rose
Moira Rose is an eccentric, melodramatic former soap opera star and matriarch of the Rose family on the television series "Schitt's Creek."
-
C.
Amanda Prynne
Amanda Prynne is the witty, headstrong heroine of Noël Coward’s comedy "Private Lives," known for her volatile romance with her ex-husband Elyot.
-
D.
Moira MacTaggert
Moira MacTaggert is a human ally of the X-Men, often portrayed as a brilliant geneticist and expert on mutantkind in Marvel’s X-Men universe.
-
E.
Daphne Acott
Daphne Acott was the wife of British actor and theatre manager Alec Clunes.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a422c88190a22cc34d2eac00ce |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb8ec888190b46a0b48840efd20 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 11:50 p.m.