Triple
T13310273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Marche de l'empereur |
E317041
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Jérôme Maison |
E322903
|
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: Jérôme Maison | Statement: [La Marche de l'empereur, cinematography, Jérôme Maison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jérôme Maison Context triple: [La Marche de l'empereur, cinematography, Jérôme Maison]
-
A.
Jérôme Maison
chosen
Jérôme Maison is a cinematographer best known for his work on the acclaimed nature documentary film "March of the Penguins."
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Laurent Grévill
Laurent Grévill is a French actor known for his work in film, television, and theater, including a notable role in the drama "I've Loved You So Long."
-
D.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
E.
Jérôme Lindon
Jérôme Lindon was a prominent French publisher best known for directing Éditions de Minuit and championing avant-garde and politically engaged literature.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb75ea708190a30153c76cde8e79 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 9, 2026, 9:29 p.m.