Triple

T15312443
Position Surface form Disambiguated ID Type / Status
Subject Nick Young E366070 entity
Predicate givenName P17 FINISHED
Object Nick E651074 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: Nick | Statement: [Nick Young, givenName, Nick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick
Context triple: [Nick Young, givenName, Nick]
  • A. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • B. Nick
    Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
  • C. Nick chosen
    Nick is a masculine given name, often a short form of Nicholas, commonly used in English-speaking countries.
  • D. Nick
    Nick is a key character in Margaret Atwood’s dystopian novel *The Handmaid’s Tale*, serving as a Guardian and Offred’s secret lover and potential ally within the oppressive regime of Gilead.
  • E. Nick
    Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.