Triple

T11203061
Position Surface form Disambiguated ID Type / Status
Subject Chancer E265088 entity
Predicate protagonistPortrayedBy P9616 FINISHED
Object Clive Owen E224977 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: Clive Owen | Statement: [Chancer, protagonistPortrayedBy, Clive Owen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clive Owen
Context triple: [Chancer, protagonistPortrayedBy, Clive Owen]
  • A. Clive Owen chosen
    Clive Owen is an English actor known for his intense, brooding screen presence in films such as "Closer," "Children of Men," and "Inside Man."
  • B. Jack Davenport
    Jack Davenport is a British actor best known for his roles in the television series "Coupling" and the "Pirates of the Caribbean" film franchise.
  • C. Jude Law
    Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
  • D. Clive Morgan
    Clive Morgan was a British character actor known for supporting roles in mid-20th-century films.
  • E. Blake Ritson
    Blake Ritson is a British actor and director known for his roles in television dramas such as "Da Vinci's Demons" and "Upstairs Downstairs," as well as for his extensive voice work in audiobooks and video games.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509dd91288190beefaaa451d692ae completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:29 p.m.