Triple

T6557902
Position Surface form Disambiguated ID Type / Status
Subject Timothée Chalamet E152497 entity
Predicate familyName P18 FINISHED
Object Chalamet E152497 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: Chalamet | Statement: [Timothée Chalamet, familyName, Chalamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chalamet
Context triple: [Timothée Chalamet, familyName, Chalamet]
  • A. Timothée Chalamet chosen
    Timothée Chalamet is an American actor known for his critically acclaimed performances in films such as "Call Me by Your Name," "Dune," and "Lady Bird."
  • B. Lucas Hedges
    Lucas Hedges is an American actor known for his acclaimed performances in films such as "Manchester by the Sea," "Lady Bird," and "Boy Erased."
  • C. David Corenswet
    David Corenswet is an American actor best known for being cast as Superman/Clark Kent in James Gunn’s upcoming DC Universe film "Superman" (2025).
  • D. Armie Hammer
    Armie Hammer is an American actor best known for his breakout dual role as the Winklevoss twins in "The Social Network" and for starring in films such as "Call Me by Your Name."
  • E. Jacob Elordi
    Jacob Elordi is an Australian actor best known for his breakout role as Nate Jacobs in the HBO series "Euphoria" and for starring in films such as "The Kissing Booth" and "Priscilla."
  • 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_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:52 p.m.