Triple

T5916863
Position Surface form Disambiguated ID Type / Status
Subject Michael Ironside E131601 entity
Predicate familyName P18 FINISHED
Object Ironside E463027 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 | Statement: [Michael Ironside, familyName, Ironside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ironside
Context triple: [Michael Ironside, familyName, Ironside]
  • A. Ironside
    Ironside is an American television crime drama series centered on a paraplegic chief of detectives who solves cases from his wheelchair.
  • B. Ironside chosen
    Ironside is the epithet of Edmund Ironside, an early 11th-century English king renowned for his resilience and military resistance against Viking invaders.
  • C. The Piper
    "The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
  • D. The Hawk
    The Hawk was the nickname of Connie Hawkins, a Hall of Fame American basketball player renowned for his spectacular leaping ability and creative, acrobatic play.
  • E. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c02c24cc8190a98d24f7445f59b7 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 3:59 p.m.