Triple
T32466886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touchez pas au grisbi |
E829732
|
entity |
| Predicate | characterPlayedByJeanGabin |
P198464
|
FINISHED |
| Object | Max |
—
|
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: Max | Statement: [Touchez pas au grisbi, characterPlayedByJeanGabin, Max]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByJeanGabin Context triple: [Touchez pas au grisbi, characterPlayedByJeanGabin, Max]
-
A.
characterPlayedBy_Danielle Darrieux
Indicates that a given character is portrayed or acted by Danielle Darrieux.
-
B.
characterPortrayedBySandrineBonnaire
Indicates that a character is portrayed or played by the actress Sandrine Bonnaire.
-
C.
leadCharacterPlayedByJeanHarlow
Indicates that the work’s lead character is portrayed by the actress Jean Harlow.
-
D.
characterPlayedBy Charles Laughton
Indicates that a given character is portrayed or acted by Charles Laughton.
-
E.
humphreyBogartRole
Indicates that one entity is a role or character portrayed by Humphrey Bogart in a film, play, or other performance.
- F. None of above. chosen
Provenance (4 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
| PDg | Predicate description generation | batch_69fee690af688190a845310f102a0c83 |
completed | May 9, 2026, 7:47 a.m. |
Created at: May 1, 2026, 12:57 a.m.