Triple
T23061643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Measure of a Man |
E574917
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Yves Ory |
—
|
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: Yves Ory | Statement: [The Measure of a Man, castMember, Yves Ory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yves Ory Context triple: [The Measure of a Man, castMember, Yves Ory]
-
A.
Yves Ory
chosen
Yves Ory is an actor known for his role in the French social drama film "La loi du marché" ("The Measure of a Man").
-
B.
Jean-Jacques Wunenburger
Jean-Jacques Wunenburger is a French philosopher known for his work on the philosophy of imagination, images, and symbolism, particularly in relation to culture and myth.
-
C.
Pierre Bismuth
Pierre Bismuth is a French contemporary artist and filmmaker best known for co-writing the Academy Award–winning screenplay for "Eternal Sunshine of the Spotless Mind."
-
D.
Maurice Dunand
Maurice Dunand was a French archaeologist renowned for his extensive excavations and research on ancient Near Eastern and Levantine sites.
-
E.
René Havard
René Havard was a French screenwriter and actor active in mid-20th-century cinema.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.