Triple

T16248762
Position Surface form Disambiguated ID Type / Status
Subject Melanie Daniels E394442 entity
Predicate portrayedBy P1507 FINISHED
Object Tippi Hedren E394440 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: Tippi Hedren | Statement: [Melanie Daniels, portrayedBy, Tippi Hedren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tippi Hedren
Context triple: [Melanie Daniels, portrayedBy, Tippi Hedren]
  • A. Tippi Hedren chosen
    Tippi Hedren is an American actress and former fashion model best known for her leading role in Alfred Hitchcock’s classic thriller "The Birds."
  • B. Lauren Hutton
    Lauren Hutton is an American model and actress known for her gap-toothed smile and pioneering status as one of the first supermodels, as well as for her roles in films such as "American Gigolo."
  • C. Heidi Hutton
    Heidi Hutton is the daughter of American actor Jim Hutton, known for his film and television roles in the 1960s and 1970s.
  • D. Pat Farrah
    Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
  • E. Marilyn Maxwell
    Marilyn Maxwell was an American actress and singer best known for her roles in 1940s–1950s Hollywood films and for her work in radio and USO entertainment.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24594f23c8190bd59fcb2585cb5e3 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:04 a.m.