Triple

T11430533
Position Surface form Disambiguated ID Type / Status
Subject Little Shop of Horrors (1986 film) E270866 entity
Predicate starring P1507 FINISHED
Object Ellen Greene E443591 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: Ellen Greene | Statement: [Little Shop of Horrors (1986 film), starring, Ellen Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Greene
Context triple: [Little Shop of Horrors (1986 film), starring, Ellen Greene]
  • A. Ellen Greene chosen
    Ellen Greene is an American actress and singer best known for her distinctive voice and her role as Audrey in the musical and film "Little Shop of Horrors."
  • B. Ellen Andrews
    Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
  • C. Ellen Drew
    Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
  • D. Ellen Lacey
    Ellen Lacey is a fictional character from the 1954 film noir "Crime Wave," involved in the story’s tense criminal underworld and police investigation.
  • E. Ellen Louise
    Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c1bfb881909720c74fe0fa837f completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef12a7ea2c81909ac2ce2bbe549ebb completed April 27, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:35 p.m.