Triple

T18709026
Position Surface form Disambiguated ID Type / Status
Subject Call Me by Your Name E457449 entity
Predicate castMember P1668 FINISHED
Object Timothée Chalamet 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: Timothée Chalamet | Statement: [Call Me by Your Name, castMember, Timothée Chalamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothée Chalamet
Context triple: [Call Me by Your Name, castMember, Timothée 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. Marc Chalamet
    Marc Chalamet is a French journalist and editor best known as the father of actor Timothée Chalamet.
  • C. 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."
  • D. 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."
  • E. 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).
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56719383481909d68c9e873ca0800 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.