Triple
T11713439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zouzou |
E278428
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Pierre Larquey |
E942068
|
NE FINISHED |
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: Pierre Larquey | Statement: [Zouzou, hasCastMember, Pierre Larquey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Larquey Context triple: [Zouzou, hasCastMember, Pierre Larquey]
-
A.
Pierre Larquey
chosen
Pierre Larquey was a prolific French character actor known for his numerous supporting roles in French cinema from the 1930s to the 1950s.
-
B.
Fabrice Du Welz
Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
-
C.
Benoît Magimel
Benoît Magimel is a French actor known for his acclaimed performances in films such as "The Piano Teacher" and "La Haine."
-
D.
Bruno Dumont
Bruno Dumont is a French film director known for his austere, philosophical dramas and distinctive blend of realism and spiritual inquiry.
-
E.
Yann Danis
Yann Danis is a Canadian former professional ice hockey goaltender who played in the NHL for teams including the Montreal Canadiens, New York Islanders, and New Jersey Devils.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0196916e081908671e79765d03778 |
completed | April 28, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:40 p.m.