Triple

T5203562
Position Surface form Disambiguated ID Type / Status
Subject Last Chance Harvey E117452 entity
Predicate castMember P1668 FINISHED
Object Daniel Lapaine E499536 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: Daniel Lapaine | Statement: [Last Chance Harvey, castMember, Daniel Lapaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Lapaine
Context triple: [Last Chance Harvey, castMember, Daniel Lapaine]
  • A. Daniel Lapaine chosen
    Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
  • B. Keith Andes
    Keith Andes was an American actor known for his work in mid-20th-century film, television, and theater, including notable roles in productions like "A Date with Judy" and "This Man Is Mine."
  • C. David Janollari
    David Janollari is an American television producer and executive known for his work on acclaimed series such as Six Feet Under.
  • D. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • E. Dan Mazeau
    Dan Mazeau is an American screenwriter known for working on major Hollywood action and fantasy films, including entries in the Fast & Furious franchise.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7fcae508190bffd21937488d674 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:47 p.m.