Triple
T6332907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruella |
E142423
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Craig Gillespie |
E117716
|
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: Craig Gillespie | Statement: [Cruella, director, Craig Gillespie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Gillespie Context triple: [Cruella, director, Craig Gillespie]
-
A.
Craig Gillespie
chosen
Craig Gillespie is an Australian-American film director known for character-driven comedies and dramas such as "Lars and the Real Girl" and the biographical film "I, Tonya."
-
B.
David O. Russell
David O. Russell is an American filmmaker known for his offbeat, character-driven dramas and dark comedies such as The Fighter, American Hustle, and Three Kings.
-
C.
Bennett Miller
Bennett Miller is an American film director known for his critically acclaimed, character-driven dramas such as "Capote," "Moneyball," and "Foxcatcher."
-
D.
Damien Chazelle
Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
-
E.
Paul Thomas Anderson
Paul Thomas Anderson is an acclaimed American filmmaker known for his character-driven, stylistically distinctive films such as "Boogie Nights," "Magnolia," and "There Will Be Blood."
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60424a5dc8190820970fce13776ac |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.