Triple

T12644902
Position Surface form Disambiguated ID Type / Status
Subject Jack Kruschen E301996 entity
Predicate notableWork P4 FINISHED
Object Ironside (TV series) E120047 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: Ironside (TV series) | Statement: [Jack Kruschen, notableWork, Ironside (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ironside (TV series)
Context triple: [Jack Kruschen, 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 (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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.