Triple

T10323059
Position Surface form Disambiguated ID Type / Status
Subject Esther Kahn E242687 entity
Predicate cinematographyBy P1953 FINISHED
Object Eric Gautier E548923 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: Eric Gautier | Statement: [Esther Kahn, cinematographyBy, Eric Gautier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Gautier
Context triple: [Esther Kahn, cinematographyBy, Eric Gautier]
  • A. Eric Gautier chosen
    Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
  • B. Joel Desrouleaux
    Joel Desrouleaux is the brother of American singer, songwriter, and dancer Jason Derulo.
  • C. Mark Gastineau
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • D. Eric Grillon
    Eric Grillon is a French local politician who serves as the mayor of the commune of Ablon-sur-Seine in the Île-de-France region.
  • E. Michael Goudeau
    Michael Goudeau is an American juggler, comedian, and writer best known for his long-running collaboration with magician Penn Jillette on stage shows and media projects.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:50 a.m.