Triple

T14890696
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Laforge E359745 entity
Predicate name P16 FINISHED
Object Guillaume Laforge E359745 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: Guillaume Laforge | Statement: [Guillaume Laforge, name, Guillaume Laforge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume Laforge
Context triple: [Guillaume Laforge, name, Guillaume Laforge]
  • A. Guillaume Laforge chosen
    Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
  • B. Hugo Lavoie
    Hugo Lavoie is an actor known for playing Gage Creed in an adaptation of Stephen King’s horror novel "Pet Sematary."
  • C. Étienne Morin
    Étienne Morin was an 18th-century French Freemason and merchant best known for helping develop and spread the high-degree Masonic system that evolved into the Scottish Rite.
  • D. Guillaume Côté
    Guillaume Côté is a renowned Canadian ballet dancer and choreographer, celebrated as one of the leading principal artists of his generation.
  • E. Marc-Aurèle-Fortin
    Marc-Aurèle-Fortin is a Canadian federal electoral district located in the province of Quebec, represented in the House of Commons.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec870cea08190962434fc2647fd67 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 2:10 a.m.