Triple

T2436890
Position Surface form Disambiguated ID Type / Status
Subject Juliette Binoche E52980 entity
Predicate hasWorkedWith P9615 FINISHED
Object Anthony Minghella E49512 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: Anthony Minghella | Statement: [Juliette Binoche, hasWorkedWith, Anthony Minghella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Minghella
Context triple: [Juliette Binoche, hasWorkedWith, Anthony Minghella]
  • A. Anthony Minghella chosen
    Anthony Minghella was an acclaimed British film director and screenwriter best known for his lush, character-driven dramas such as "The English Patient" and "The Talented Mr. Ripley."
  • B. Max Minghella
    Max Minghella is a British actor and filmmaker known for roles in films like "The Social Network" and the series "The Handmaid's Tale."
  • C. Stephen Daldry
    Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
  • D. Dario Marianelli
    Dario Marianelli is an Italian film composer known for his evocative scores for movies such as Atonement, Pride & Prejudice, and Darkest Hour.
  • E. Oliver Parker
    Oliver Parker is a British filmmaker and screenwriter known for directing literary adaptations such as the 1995 film version of Shakespeare’s "Othello."
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf7085b88190938c4eefa4380970 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.