Triple

T12728261
Position Surface form Disambiguated ID Type / Status
Subject Jack O'Brien E304162 entity
Predicate portrayedBy P1507 FINISHED
Object Hunter McCracken E285442 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: Hunter McCracken | Statement: [Jack O'Brien, portrayedBy, Hunter McCracken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunter McCracken
Context triple: [Jack O'Brien, portrayedBy, Hunter McCracken]
  • A. Hunter McCracken chosen
    Hunter McCracken is an American actor best known for his lead role as young Jack in Terrence Malick’s acclaimed film "The Tree of Life."
  • B. Hunter McEwan
    Hunter McEwan is an individual notable enough to be recognized as a prominent bearer of the surname McEwan.
  • C. Mitch McDeere
    Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
  • D. Jeremy McClain
    Jeremy McClain is an American college athletics administrator best known for serving as the athletic director at the University of Southern Mississippi.
  • E. Ryan McKenzie
    Ryan McKenzie is a central character in the romantic suspense novel "Watch Over Me," around whom much of the story’s emotional and dramatic tension revolves.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.