Triple

T8242788
Position Surface form Disambiguated ID Type / Status
Subject It Chapter Two E192775 entity
Predicate featuresCharacter P626 FINISHED
Object Richie Tozier E197867 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: Richie Tozier | Statement: [It Chapter Two, featuresCharacter, Richie Tozier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richie Tozier
Context triple: [It Chapter Two, featuresCharacter, Richie Tozier]
  • A. Richie Tozier chosen
    Richie Tozier is a wisecracking, foul-mouthed member of the Losers' Club in Stephen King's horror novel "It," known for using humor to cope with fear and trauma.
  • B. Richie Roberts
    Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
  • C. Brad Dorros
    Brad Dorros is a film and television producer known for his work on projects such as the thriller "The Fifth Estate."
  • D. Blaze Tucker
    Blaze Tucker is the daughter of reality television star and singer-songwriter Kandi Burruss and her husband Todd Tucker.
  • E. Richie DiMaso
    Richie DiMaso is an ambitious and volatile FBI agent in the film "American Hustle" who drives the high-stakes sting operation at the story’s center.
  • 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_69cd94ec40a8819081655fee94614525 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:47 p.m.