Triple

T15811095
Position Surface form Disambiguated ID Type / Status
Subject Hang Time E383353 entity
Predicate hasCastMember P2308 FINISHED
Object Nick Spano E441481 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 Spano | Statement: [Hang Time, hasCastMember, Nick Spano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Spano
Context triple: [Hang Time, hasCastMember, Nick Spano]
  • A. Nick Spano chosen
    Nick Spano is an American actor best known for his role as Javier on the Disney Channel series "Even Stevens."
  • B. Joe Spano
    Joe Spano is an American actor best known for his Emmy-winning role as Detective Henry Goldblume on the television series "Hill Street Blues" and for recurring roles on shows like "NCIS."
  • C. Mike Spano
    Mike Spano is an American politician who has served as the mayor of Yonkers, New York, and is known for his long involvement in local and state government.
  • D. Joe Klecko
    Joe Klecko is a former American football defensive lineman best known as a dominant member of the New York Jets' famed "New York Sack Exchange" and a Pro Football Hall of Famer.
  • E. John Ficarra
    John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.