Triple

T1878877
Position Surface form Disambiguated ID Type / Status
Subject The Talented Mr. Ripley E39805 entity
Predicate castMember P1668 FINISHED
Object Jack Davenport E156271 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: Jack Davenport | Statement: [The Talented Mr. Ripley, castMember, Jack Davenport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Davenport
Context triple: [The Talented Mr. Ripley, castMember, Jack Davenport]
  • A. Jack Davenport chosen
    Jack Davenport is a British actor best known for his roles in the television series "Coupling" and the "Pirates of the Caribbean" film franchise.
  • B. David Bamber
    David Bamber is an English actor known for his character roles in British television and film, including his portrayal of Mr. Collins in the 1995 adaptation of "Pride and Prejudice."
  • 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. Peter Macon
    Peter Macon is an American actor best known for playing the Moclan officer Lt. Cmdr. Bortus on the science fiction comedy-drama series "The Orville."
  • E. Matthew Goode
    Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f8e9f08190a210440823fad69e completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030bfbcc8190842a2bc69afb0db2 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:34 p.m.