Triple

T20656449
Position Surface form Disambiguated ID Type / Status
Subject Little Annie Rooney (1925 film) E507637 entity
Predicate starring P1507 FINISHED
Object Spec O'Donnell 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: Spec O'Donnell | Statement: [Little Annie Rooney (1925 film), starring, Spec O'Donnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spec O'Donnell
Context triple: [Little Annie Rooney (1925 film), starring, Spec O'Donnell]
  • A. Spec O'Donnell chosen
    Spec O'Donnell was an American child and character actor of the silent and early sound film era, known for his comic roles in numerous 1920s and 1930s movies.
  • B. Roger O’Donnell
    Roger O’Donnell is an English keyboardist best known for his long-standing role in the alternative rock band The Cure.
  • C. Michael Kelly
    Michael Kelly is an American sports executive best known for serving as the athletic director at the University of South Florida.
  • D. Michael Kelly
    Michael Kelly is an American actor best known for his role as Doug Stamper on the political drama series "House of Cards."
  • E. Michael Kelly
    Michael Kelly is a film editor best known for his work on the animated feature "The Rescuers Down Under."
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.