Triple
T3433608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Winslet |
E72394
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Quills |
E62118
|
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: Quills | Statement: [Kate Winslet, notableWork, Quills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quills Context triple: [Kate Winslet, notableWork, Quills]
-
A.
Quills
chosen
Quills is a 2000 period drama film that fictionalizes the final years of the Marquis de Sade, featuring Geoffrey Rush in a critically acclaimed leading role.
-
B.
Logorama
Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
-
C.
Certified Copy
Certified Copy is a 2010 art-house drama film directed by Abbas Kiarostami, featuring Juliette Binoche as a woman whose ambiguous relationship with a writer blurs the line between reality and performance.
-
D.
Finding Forrester
Finding Forrester is a 2000 drama film about a reclusive writer who mentors a gifted young student, directed by Gus Van Sant.
-
E.
Blow
Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c1d9148190b873ba66d34d4f01 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547d3f4c8190bc6811398bd8f080 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:16 p.m.