Triple

T4432773
Position Surface form Disambiguated ID Type / Status
Subject Jake Cherry E95371 entity
Predicate onScreenFatherCharacter P55973 FINISHED
Object Larry Daley E90847 NE FINISHED

How this triple was built (3 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: Larry Daley | Statement: [Jake Cherry, onScreenFatherCharacter, Larry Daley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Daley
Context triple: [Jake Cherry, onScreenFatherCharacter, Larry Daley]
  • A. Larry Daley chosen
    Larry Daley is the bumbling yet good-hearted night guard protagonist of the "Night at the Museum" film series, known for dealing with museum exhibits that magically come to life.
  • B. Brad Daugherty
    Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
  • C. Darryl Philbin
    Darryl Philbin is a laid-back yet sharp-witted warehouse foreman who becomes a key supporting character and later office employee in the U.S. version of The Office.
  • D. Gerald Hagey
    Gerald Hagey was a Canadian academic and administrator best known as the founding president who led the development of the University of Waterloo into a major institution.
  • E. Tedd Munchak
    Tedd Munchak was an American businessman best known for owning the Carolina Cougars franchise in the former American Basketball Association.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onScreenFatherCharacter
Context triple: [Jake Cherry, onScreenFatherCharacter, Larry Daley]
  • A. viewOfFather
    Indicates that one entity is a visual representation, depiction, or perspective specifically of a father.
  • B. fatherFigure
    Indicates a relationship where one entity serves in a paternal or mentoring role toward another, providing guidance, support, or care similar to that of a father.
  • C. controllingCharacter
    Indicates that one character exerts control, influence, or authority over another character.
  • D. appearsWithCharacter
    Indicates that two characters are shown or present together within the same scene, shot, or context.
  • E. hasParentCharacter
    Indicates that one character is the parent of another character.
  • F. None of above. chosen

Provenance (5 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137171148190b77a6f783d5cf315 completed March 15, 2026, 2:03 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3505a87b4819083fbbd58870e520b completed March 12, 2026, 11:46 p.m.
Created at: March 12, 2026, 11:31 p.m.