Triple

T11787572
Position Surface form Disambiguated ID Type / Status
Subject Raymond Peynet E280309 entity
Predicate givenName P17 FINISHED
Object Raymond E206680 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: Raymond | Statement: [Raymond Peynet, givenName, Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond
Context triple: [Raymond Peynet, givenName, Raymond]
  • A. Raymond
    Raymond is a surname most notably associated with Eric S. Raymond, an American software developer, open-source advocate, and author of "The Cathedral and the Bazaar."
  • B. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • C. Raymond chosen
    Raymond is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • D. Raymond
    Raymond is the volatile, abusive patriarch at the center of the British drama film "Nil by Mouth," whose destructive behavior drives the movie’s portrayal of family dysfunction and addiction.
  • E. Raymond
    Raymond is an actor who worked alongside Valerie as part of the same cast ensemble.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.