Triple

T14413441
Position Surface form Disambiguated ID Type / Status
Subject Speak (2004 film) E357387 entity
Predicate castMember P1668 FINISHED
Object Allison Siko NE NERFINISHED

How this triple was built (3 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: Allison Siko | Statement: [Speak (2004 film), castMember, Allison Siko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allison Siko
Context triple: [Speak (2004 film), castMember, Allison Siko]
  • A. Allison Feaster
    Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
  • B. Allison Burnett
    Allison Burnett is an American screenwriter and novelist known for his work on films such as "Autumn in New York" and for writing character-driven dramas and thrillers.
  • C. Allison Hayes
    Allison Hayes was an American actress and former beauty queen best known for her roles in 1950s and 1960s B-movies and horror films, including the cult classic "Attack of the 50 Foot Woman."
  • D. Allison Scagliotti
    Allison Scagliotti is an American actress best known for her role as Claudia Donovan on the science fiction television series Warehouse 13.
  • E. Allison Shearmur
    Allison Shearmur was an American film producer known for her work on major franchises including Star Wars, The Hunger Games, and several Disney live-action adaptations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allison Siko
Target entity description: Allison Siko is an American actress best known for her recurring role as Kathleen Stabler, the daughter of Detective Elliot Stabler, on the television series "Law & Order: Special Victims Unit."
  • A. Allison Feaster
    Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
  • B. Allison Burnett
    Allison Burnett is an American screenwriter and novelist known for his work on films such as "Autumn in New York" and for writing character-driven dramas and thrillers.
  • C. Allison Hayes
    Allison Hayes was an American actress and former beauty queen best known for her roles in 1950s and 1960s B-movies and horror films, including the cult classic "Attack of the 50 Foot Woman."
  • D. Allison Scagliotti
    Allison Scagliotti is an American actress best known for her role as Claudia Donovan on the science fiction television series Warehouse 13.
  • E. Allison Shearmur
    Allison Shearmur was an American film producer known for her work on major franchises including Star Wars, The Hunger Games, and several Disney live-action adaptations.
  • F. None of above. chosen

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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:17 a.m.