Triple
T25042911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Silence est d'or |
E627158
|
entity |
| Predicate | directorCharacter |
P132297
|
FINISHED |
| Object | Émile Clément |
—
|
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: Émile Clément | Statement: [Le Silence est d'or, directorCharacter, Émile Clément]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directorCharacter Context triple: [Le Silence est d'or, directorCharacter, Émile Clément]
-
A.
directorCharacterOf
chosen
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
B.
directorCharacterName
Indicates that the specified name is the character name used by the director (or representing the director) within a work.
-
C.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
D.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
E.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
- F. None of above.
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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:08 a.m.