Triple

T18261533
Position Surface form Disambiguated ID Type / Status
Subject MTV Movie Award for Best Hero E437367 entity
Predicate notableRecipient P108 FINISHED
Object Tobey Maguire NE NERFINISHED

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: Tobey Maguire | Statement: [MTV Movie Award for Best Hero, notableRecipient, Tobey Maguire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobey Maguire
Context triple: [MTV Movie Award for Best Hero, notableRecipient, Tobey Maguire]
  • A. Tobey Maguire chosen
    Tobey Maguire is an American actor best known for portraying Peter Parker/Spider-Man in Sam Raimi’s Spider-Man film trilogy.
  • B. Tom Hollander
    Tom Hollander is an English actor known for his versatile performances in film, television, and theatre, including roles in "In the Loop," "Pride & Prejudice," and the series "Rev."
  • C. Andrew Garfield
    Andrew Garfield is an acclaimed British-American actor known for roles in films such as "The Social Network" and "The Amazing Spider-Man" series.
  • D. Todd Holland
    Todd Holland is an American television and film director best known for his work on acclaimed comedy series such as "Malcolm in the Middle" and "The Larry Sanders Show."
  • E. Andy Garfield
    Andy Garfield is a composer and musician known for creating the musical score for the film "Hatchet."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.