Triple

T18568229
Position Surface form Disambiguated ID Type / Status
Subject Francois Pienaar E453810 entity
Predicate givenName P17 FINISHED
Object Francois NE NERFINISHED

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: Francois | Statement: [Francois Pienaar, givenName, Francois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francois
Context triple: [Francois Pienaar, givenName, Francois]
  • A. Francois chosen
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • B. Philippe
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • C. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • D. Jean-François
    Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
  • E. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53affc3e08190b4d16b5ccb0bddbc completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.