Triple
T10468365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaking and Entering |
E246861
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Benoît Delhomme |
E429109
|
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: Benoît Delhomme | Statement: [Breaking and Entering, cinematographyBy, Benoît Delhomme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benoît Delhomme Context triple: [Breaking and Entering, cinematographyBy, Benoît Delhomme]
-
A.
Benoît Delhomme
chosen
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
B.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
-
C.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
-
D.
Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
-
E.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b1c5e4c81909628c77b80805353 |
completed | April 17, 2026, 1:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.