Triple

T18709855
Position Surface form Disambiguated ID Type / Status
Subject The Caveman’s Valentine E457474 entity
Predicate cinematographyBy P1953 FINISHED
Object Amy Vincent 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: Amy Vincent | Statement: [The Caveman’s Valentine, cinematographyBy, Amy Vincent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Vincent
Context triple: [The Caveman’s Valentine, cinematographyBy, Amy Vincent]
  • A. Amy Vincent chosen
    Amy Vincent is an American cinematographer known for her work on independent and studio films, including the psychological drama "The Caveman’s Valentine."
  • B. Amy Veness
    Amy Veness was a British character actress known for her numerous supporting roles in early- to mid-20th-century films and stage productions.
  • C. Amy Townsend
    Amy Townsend is the hard-partying, commitment-averse magazine writer at the center of the romantic comedy film "Trainwreck."
  • D. Amy Williams
    Amy Williams is a British skeleton racer who won the gold medal at the 2010 Winter Olympics in Vancouver.
  • E. Amy Dromey
    Amy Dromey is the daughter of British Labour politician Harriet Harman and trade unionist Jack Dromey.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671a3c8c81909466bf5d81477a37 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.