Triple

T14128566
Position Surface form Disambiguated ID Type / Status
Subject Jean-Philippe Nault E340097 entity
Predicate givenName P17 FINISHED
Object Jean-Philippe E518228 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: Jean-Philippe | Statement: [Jean-Philippe Nault, givenName, Jean-Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Philippe
Context triple: [Jean-Philippe Nault, givenName, Jean-Philippe]
  • A. Jean-Philippe chosen
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • B. Christophe Marie
    Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
  • C. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • D. Pierre-Louis
    Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
  • E. Philippe-Antoine
    Philippe-Antoine is a French given name historically borne by notable figures such as the revolutionary-era politician and jurist Merlin de Douai.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c27b7088190bd7714391d0536b1 completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:22 p.m.