Triple

T17707980
Position Surface form Disambiguated ID Type / Status
Subject Nick Spano E441481 entity
Predicate hasGivenName P17 FINISHED
Object Nick 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: Nick | Statement: [Nick Spano, hasGivenName, Nick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick
Context triple: [Nick Spano, hasGivenName, 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 (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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e472990b5c81908e0414d3230f283e completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.