Triple

T10285832
Position Surface form Disambiguated ID Type / Status
Subject The Little Colonel E241224 entity
Predicate starred P5563 FINISHED
Object Sidney Blackmer E102023 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: Sidney Blackmer | Statement: [The Little Colonel, starred, Sidney Blackmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Blackmer
Context triple: [The Little Colonel, starred, Sidney Blackmer]
  • A. Sidney Blackmer chosen
    Sidney Blackmer was an American stage, film, and television actor best known for his character roles in classic Hollywood cinema, including his memorable performance in "Rosemary's Baby."
  • B. Sidney Franklin
    Sidney Franklin was an American film producer and director best known for his work during Hollywood's Golden Age, including acclaimed literary adaptations.
  • C. Sidney Carroll
    Sidney Carroll was an American screenwriter best known for co-writing the acclaimed 1961 film "The Hustler."
  • D. Athol Estes Porter
    Athol Estes Porter was the wife of American short story writer O. Henry and the inspiration for several of his early works.
  • E. Onslow Stevens
    Onslow Stevens was an American character actor active from the 1930s to the 1950s, known for his supporting roles in numerous Hollywood films and early television productions.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b8343c819087c50e5471c46e3f completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d0b40d081908eb3f7ba24352a42 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:40 a.m.