Triple
T19095567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irma Vep (TV miniseries) |
E467394
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jeanne Balibar |
—
|
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: Jeanne Balibar | Statement: [Irma Vep (TV miniseries), castMember, Jeanne Balibar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanne Balibar Context triple: [Irma Vep (TV miniseries), castMember, Jeanne Balibar]
-
A.
Jeanne Balibar
chosen
Jeanne Balibar is a French actress and singer known for her work in art-house and independent cinema.
-
B.
Hortense Bellah
Hortense Bellah was the wife of American Western author and screenwriter James Warner Bellah.
-
C.
Étienne Balibar
Étienne Balibar is a French Marxist philosopher known for his work on political theory, citizenship, and the critique of nationalism and racism.
-
D.
Seyla Benhabib
Seyla Benhabib is a prominent contemporary political philosopher known for her work on deliberative democracy, cosmopolitanism, and feminist theory.
-
E.
Maurice Godelier
Maurice Godelier is a prominent French anthropologist known for his influential work on economic anthropology, kinship, and the relationship between ideology and social structures.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.