Triple

T5564143
Position Surface form Disambiguated ID Type / Status
Subject Alizée Jacotey E145838 entity
Predicate spouse P13 FINISHED
Object Jérémy Chatelain E151815 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: Jérémy Chatelain | Statement: [Alizée Jacotey, spouse, Jérémy Chatelain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jérémy Chatelain
Context triple: [Alizée Jacotey, spouse, Jérémy Chatelain]
  • A. Jérémy Chatelain chosen
    Jérémy Chatelain is a French singer, songwriter, and former reality TV contestant who gained fame after appearing on the show "Star Academy."
  • B. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • C. Ker-Xavier Roussel
    Ker-Xavier Roussel was a French Nabi painter known for his decorative, symbolist-influenced landscapes and intimate domestic scenes.
  • D. Guillaume Laforge
    Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
  • E. Antoine Santerre
    Antoine Santerre was a prominent French revolutionary and brewer who became a leading figure in the Parisian sans-culotte movement during the French Revolution.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02032330c819094f2bc1e8c93a5b6 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284525148190a7bf88c22723552a completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:36 p.m.