Triple

T6557851
Position Surface form Disambiguated ID Type / Status
Subject Murphy Cooper E152496 entity
Predicate portrayedBy P1507 FINISHED
Object Mackenzie Foy E80807 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: Mackenzie Foy | Statement: [Murphy Cooper, portrayedBy, Mackenzie Foy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackenzie Foy
Context triple: [Murphy Cooper, portrayedBy, Mackenzie Foy]
  • A. Mackenzie Foy chosen
    Mackenzie Foy is an American actress and model best known for her role as Renesmee Cullen in the Twilight film series and for starring in films such as Interstellar and The Nutcracker and the Four Realms.
  • B. Mackenzie Astin
    Mackenzie Astin is an American actor known for his roles in film and television, including the TV series "The Facts of Life."
  • C. Jaeden Lieberher
    Jaeden Lieberher is an American actor best known for his leading role as Bill Denbrough in the horror film "It" (2017), as well as performances in movies like "St. Vincent" and "Midnight Special."
  • D. Jacob Tremblay
    Jacob Tremblay is a Canadian actor known for his acclaimed child performances in films such as "Room," "Wonder," and various animated features.
  • E. Asa Butterfield
    Asa Butterfield is an English actor known for his leading roles in films like "Hugo" and the series "Sex Education."
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.