Triple

T16174797
Position Surface form Disambiguated ID Type / Status
Subject Rémi Ochlik Award E392535 entity
Predicate namedAfter P63 FINISHED
Object Rémi Ochlik E496702 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: Rémi Ochlik | Statement: [Rémi Ochlik Award, namedAfter, Rémi Ochlik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rémi Ochlik
Context triple: [Rémi Ochlik Award, namedAfter, Rémi Ochlik]
  • A. Rémi Ochlik chosen
    Rémi Ochlik was a French photojournalist renowned for his conflict-zone reporting, who was killed while covering the Syrian civil war.
  • B. Laurent Jouvenet
    Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
  • C. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • D. Pascal Ridao
    Pascal Ridao is a cinematographer best known for his work on the French drama film "I've Loved You So Long."
  • E. Yannick Jauzion
    Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebab54c81908d82dd6a26c406c2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefc3e088190975ecbdaeba7ee84 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.