Triple

T13119101
Position Surface form Disambiguated ID Type / Status
Subject The Witch E311676 entity
Predicate editedBy P1954 FINISHED
Object Louise Ford E891452 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: Louise Ford | Statement: [The Witch, editedBy, Louise Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Ford
Context triple: [The Witch, editedBy, Louise Ford]
  • A. Louise Ford chosen
    Louise Ford is a film editor known for her work on acclaimed movies such as the psychological horror film "The Lighthouse."
  • B. Louise Ford
    Louise Ford is a British actress and comedian known for her work in television sketch shows and sitcoms, as well as for her relationship with actor Rowan Atkinson.
  • C. Louise Franklin
    Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
  • D. Louise Burns
    Louise Burns is a fictional character in the television series "M*A*S*H," known primarily as the often-mentioned but never-seen wife of Major Frank Burns.
  • E. Elsie Ann Ford
    Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460c05bc819089cdd004bb07c492 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:06 p.m.