Triple

T18085691
Position Surface form Disambiguated ID Type / Status
Subject Terence (given name) E432827 entity
Predicate hasVariant P455 FINISHED
Object Terrence (given name) 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: Terrence (given name) | Statement: [Terence (given name), hasVariant, Terrence (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrence (given name)
Context triple: [Terence (given name), hasVariant, Terrence (given name)]
  • A. Terrance
    Terrance is the given first name of Terry Sawchuk, the legendary Canadian Hall of Fame NHL goaltender.
  • B. Terrance
    Terrance is the given first name of Terry Fox, the Canadian athlete and cancer research activist renowned for his Marathon of Hope.
  • C. Terrance
    Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
  • D. Terence (given name) chosen
    Terence is a masculine given name of Latin origin, historically associated with the Roman playwright Publius Terentius Afer (Terence).
  • E. Terrence
    Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.