Triple

T22433642
Position Surface form Disambiguated ID Type / Status
Subject Only the Brave E554558 entity
Predicate starredActor P5563 FINISHED
Object Miles Teller 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: Miles Teller | Statement: [Only the Brave, starredActor, Miles Teller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles Teller
Context triple: [Only the Brave, starredActor, Miles Teller]
  • A. Miles Teller chosen
    Miles Teller is an American actor known for his versatile performances in films such as Whiplash, The Spectacular Now, and Top Gun: Maverick.
  • B. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • C. Ansel Elgort
    Ansel Elgort is an American actor and musician best known for his roles in films such as "The Fault in Our Stars," the "Divergent" series, and "Baby Driver."
  • D. Dane DeHaan
    Dane DeHaan is an American actor known for his intense, often offbeat performances in films such as Chronicle, The Amazing Spider-Man 2, and Valerian and the City of a Thousand Planets.
  • E. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adce9688190992ad0ca15883931 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.