Triple

T11992542
Position Surface form Disambiguated ID Type / Status
Subject The Tree of Life E285442 entity
Predicate castMember P1668 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: [The Tree of Life, castMember, Hunter McCracken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunter McCracken
Context triple: [The Tree of Life, castMember, 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.