Triple
T14854230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. (film) |
E349310
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Alexandre De Franceschi |
—
|
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: Alexandre De Franceschi | Statement: [W. (film), editor, Alexandre De Franceschi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandre De Franceschi Context triple: [W. (film), editor, Alexandre De Franceschi]
-
A.
Alexandre de Franceschi
chosen
Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
-
B.
Jacques Defforey
Jacques Defforey was a French businessman best known as one of the founders of the multinational retail corporation Carrefour.
-
C.
Michel Dorigny
Michel Dorigny was a 17th-century French painter and engraver associated with the Baroque style and the artistic circle of Simon Vouet in Paris.
-
D.
André Flahaut
André Flahaut is a Belgian politician who has held prominent national offices, including serving as President of the Chamber of Representatives.
-
E.
Gérard de Battista
Gérard de Battista is a French cinematographer known for his work on numerous European films, including the acclaimed drama "Monsieur Ibrahim."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
Created at: April 10, 2026, 1:54 a.m.