Triple

T8242791
Position Surface form Disambiguated ID Type / Status
Subject It Chapter Two E192775 entity
Predicate featuresCharacter P626 FINISHED
Object Mike Hanlon E226369 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: Mike Hanlon | Statement: [It Chapter Two, featuresCharacter, Mike Hanlon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Hanlon
Context triple: [It Chapter Two, featuresCharacter, Mike Hanlon]
  • A. Mike Hanlon chosen
    Mike Hanlon is a central member of the Losers' Club in Stephen King's horror novel "It," known for his role as the group's historian and the only one to remain in Derry into adulthood.
  • B. Brent Hanley
    Brent Hanley is an American screenwriter best known for writing the critically acclaimed film "Frailty" (2001).
  • C. Mike Rodden
    Mike Rodden is a musician best known as a member of the American rock band Hinder.
  • D. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • E. Mike Dailey
    Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:47 p.m.