Triple

T22389069
Position Surface form Disambiguated ID Type / Status
Subject Rare E553468 entity
Predicate producer P490 FINISHED
Object Alex Hope 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: Alex Hope | Statement: [Rare, producer, Alex Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Hope
Context triple: [Rare, producer, Alex Hope]
  • A. Alex Hope chosen
    Alex Hope is a British music producer and songwriter known for her work with artists across pop and alternative genres and for co-founding the production company Double Negative.
  • B. Charlotte Hope
    Charlotte Hope is an English actress best known for her leading role as Catherine of Aragon in the historical drama series "The Spanish Princess."
  • C. Hope Loring
    Hope Loring was an American screenwriter best known for co-writing the World War I aviation epic "Wings," the first film to win the Academy Award for Best Picture.
  • D. Katie Howard
    Katie Howard is a central character in the short-lived sitcom "That '80s Show," portrayed as a young woman navigating life, relationships, and work in 1980s San Diego.
  • E. Morgan Holt
    Morgan Holt is the wife of American television news anchor Stefan Holt.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15858c13c819098fe66a50ecea7d7 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.