Triple

T13310272
Position Surface form Disambiguated ID Type / Status
Subject La Marche de l'empereur E317041 entity
Predicate cinematography P1953 FINISHED
Object Laurent Chalet E317045 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: Laurent Chalet | Statement: [La Marche de l'empereur, cinematography, Laurent Chalet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurent Chalet
Context triple: [La Marche de l'empereur, cinematography, Laurent Chalet]
  • A. Laurent Chalet chosen
    Laurent Chalet is a French cinematographer best known for his acclaimed work on the nature documentary film "March of the Penguins."
  • B. Alain Chuard
    Alain Chuard is a Swiss entrepreneur and former professional snowboarder best known as the founder of the social media marketing company Wildfire Interactive, which was acquired by Google.
  • C. Mathis Lussy
    Mathis Lussy was a 19th-century Swiss music theorist and pedagogue known for his influential writings on musical expression and performance.
  • D. Pascal Lavanchy
    Pascal Lavanchy is a French ice dancer best known for his successful competitive career in the 1990s, highlighted by multiple international medals with partner Sophie Moniotte.
  • E. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and 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_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.