Triple

T3786616
Position Surface form Disambiguated ID Type / Status
Subject Top Gun: Maverick E85544 entity
Predicate castMember P1668 FINISHED
Object Miles Teller E322032 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: Miles Teller | Statement: [Top Gun: Maverick, castMember, Miles Teller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles Teller
Context triple: [Top Gun: Maverick, castMember, 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 (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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336b8d308190a1886ab637173b35 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:13 p.m.