Triple
T6420470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marc Vallée |
E127930
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | C.R.A.Z.Y. |
E592611
|
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: C.R.A.Z.Y. | Statement: [Jean-Marc Vallée, directed, C.R.A.Z.Y.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C.R.A.Z.Y. Context triple: [Jean-Marc Vallée, directed, C.R.A.Z.Y.]
-
A.
C.R.A.Z.Y.
chosen
C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
-
B.
You're Crazy
"You're Crazy" is a hard rock song by Guns N' Roses from their landmark 1987 debut album *Appetite for Destruction*.
-
C.
Bad and Crazy
Bad and Crazy is a South Korean action-fantasy drama series that blends crime investigation with dark humor and a split-personality vigilante hero.
-
D.
Crazy Man, Crazy
"Crazy Man, Crazy" is a pioneering 1953 rock and roll single by Bill Haley & His Comets that helped bring the emerging genre into mainstream popularity.
-
E.
Crazy
"Crazy" is a hit song by British singer Seal, known for its soulful vocals, atmospheric production, and introspective lyrics that helped establish his early 1990s success.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb79f74819088a6e30a9deb8616 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:43 p.m.