Triple

T19914432
Position Surface form Disambiguated ID Type / Status
Subject Hung E478626 entity
Predicate portrayedBy P1507 FINISHED
Object Sianoa Smit-McPhee 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: Sianoa Smit-McPhee | Statement: [Hung, portrayedBy, Sianoa Smit-McPhee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sianoa Smit-McPhee
Context triple: [Hung, portrayedBy, Sianoa Smit-McPhee]
  • A. Sianoa Smit-McPhee chosen
    Sianoa Smit-McPhee is an Australian actress and singer best known for her roles in television series such as "As the Bell Rings" and "Hung."
  • B. Quvenzhané Wallis
    Quvenzhané Wallis is an American actress and author who rose to prominence as the youngest-ever Best Actress Oscar nominee for her lead role in the film "Beasts of the Southern Wild."
  • C. Kerry Bishé
    Kerry Bishé is a New Zealand–born American actress best known for her roles in the film "Argo" and the television series "Halt and Catch Fire."
  • D. Naomi Ackie
    Naomi Ackie is a British actress known for her acclaimed performances in film, television, and theatre, including roles in productions such as "Lady Macbeth" and "Star Wars: The Rise of Skywalker."
  • E. Teresa Palmer
    Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659928030819085a4aafc6a0ef5c8 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.