Triple

T8959122
Position Surface form Disambiguated ID Type / Status
Subject Jean-Philippe Lauer E213553 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 Lauer, givenName, Jean-Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Philippe
Context triple: [Jean-Philippe Lauer, 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. 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.
  • E. François-Paul
    François-Paul is the given name of François-Paul Brueys d’Aigalliers, a French naval officer and admiral who served during the French Revolutionary Wars.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc672b12b48190a9d964f79b96d237 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0174564188190a99e2d46a6563b69 completed April 3, 2026, 7:38 p.m.
Created at: March 30, 2026, 7 p.m.