Triple

T19835817
Position Surface form Disambiguated ID Type / Status
Subject Taylor Russell E476590 entity
Predicate coStarredWith P14987 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: [Taylor Russell, coStarredWith, Timothée Chalamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothée Chalamet
Context triple: [Taylor Russell, coStarredWith, 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d275608190841b23de167c401e completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.