Triple

T20521708
Position Surface form Disambiguated ID Type / Status
Subject John Zaremba E503823 entity
Predicate notableWork P4 FINISHED
Object Ironside (TV series) 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: Ironside (TV series) | Statement: [John Zaremba, notableWork, Ironside (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ironside (TV series)
Context triple: [John Zaremba, notableWork, Ironside (TV series)]
  • A. Ironside chosen
    Ironside is an American television crime drama series centered on a paraplegic chief of detectives who solves cases from his wheelchair.
  • B. Ironside
    Ironside is the epithet of Edmund Ironside, an early 11th-century English king renowned for his resilience and military resistance against Viking invaders.
  • C. Airwolf
    Airwolf is an American 1980s action-adventure television series centered on a high-tech military helicopter and the covert missions of its crew.
  • D. Ironsides
    Ironsides were the disciplined, highly effective cavalry troops led by Oliver Cromwell during the English Civil War, renowned for their religious zeal and battlefield success.
  • E. Thunderbirds
    Thunderbirds is the United States Air Force’s premier aerial demonstration squadron, renowned for its precision flying and airshow performances.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f46488c819093687b4e07837793 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.