Triple
T19367124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call of the Wild (1972 film) |
E484430
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michèle Mercier |
—
|
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: Michèle Mercier | Statement: [The Call of the Wild (1972 film), starring, Michèle Mercier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michèle Mercier Context triple: [The Call of the Wild (1972 film), starring, Michèle Mercier]
-
A.
Michèle Mercier
chosen
Michèle Mercier is a French actress best known internationally for her role as Angélique in the popular 1960s historical adventure film series of the same name.
-
B.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
C.
Valérie Dréville
Valérie Dréville is a French actress known for her work in both film and theatre, particularly in auteur-driven and art-house productions.
-
D.
Michèle Girardon
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
E.
Michèle Delaunay
Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619adac8881909136c50351f3683d |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.