Triple
T6635405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the French Style |
E150435
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Philippe Forquet |
E689691
|
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: Philippe Forquet | Statement: [In the French Style, hasCastMember, Philippe Forquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Forquet Context triple: [In the French Style, hasCastMember, Philippe Forquet]
-
A.
Philippe Forquet
chosen
Philippe Forquet was a French actor and 1960s heartthrob best known for his romantic lead roles in films that paired him with prominent international actresses.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Philippe Martinaud
Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
-
D.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
E.
Frédéric Arnault
Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91152b4548190a0749cbd3e26cf9e |
completed | March 29, 2026, 11:47 a.m. |
Created at: March 27, 2026, 1:59 p.m.