Triple

T11665315
Position Surface form Disambiguated ID Type / Status
Subject Gérard Mourou E277233 entity
Predicate givenName P17 FINISHED
Object Gérard E327411 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: Gérard | Statement: [Gérard Mourou, givenName, Gérard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gérard
Context triple: [Gérard Mourou, givenName, Gérard]
  • A. Gérard chosen
    Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
  • B. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • C. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • D. Xavier Fabre
    Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
  • E. Gilbert Guillemard
    Gilbert Guillemard was an architect known for designing the Presbytère, a notable historic building in New Orleans’ French Quarter.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82ce2904819094cf5be87fb14fca completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.