Triple

T19915028
Position Surface form Disambiguated ID Type / Status
Subject Watership Down (1978 film) E478642 entity
Predicate voiceCastMember P9616 FINISHED
Object Hannah Gordon 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: Hannah Gordon | Statement: [Watership Down (1978 film), voiceCastMember, Hannah Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Gordon
Context triple: [Watership Down (1978 film), voiceCastMember, Hannah Gordon]
  • A. Hannah Gordon chosen
    Hannah Gordon is a Scottish actress known for her work in British television drama and comedy from the 1960s onward.
  • B. Hannah Gill
    Hannah Gill is a fictional character in "The Truman Show," an actress who plays Truman Burbank’s on-screen wife within the film’s constructed reality.
  • C. Hannah Thornton
    Hannah Thornton is a fictional character in Elizabeth Gaskell's novel "North and South," known as the strong-willed and class-conscious mother of industrialist John Thornton.
  • D. Hannah Gurney
    Hannah Gurney was a member of the prominent Quaker Gurney family of Norwich, known for her connections to leading 19th-century British social reformers.
  • E. Hannah Bourne
    Hannah Bourne is an actress who appeared in the live-action film adaptation of "The One and Only Ivan."
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6599394f081909246006c2e83bacc completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.