Triple

T21775997
Position Surface form Disambiguated ID Type / Status
Subject Ripley’s Rescue E537579 entity
Predicate associatedCharacterActor P63755 FINISHED
Object Carrie Henn 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: Carrie Henn | Statement: [Ripley’s Rescue, associatedCharacterActor, Carrie Henn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie Henn
Context triple: [Ripley’s Rescue, associatedCharacterActor, Carrie Henn]
  • A. Carrie Henn chosen
    Carrie Henn is an American former child actress best known for her role as Newt in James Cameron's 1986 science fiction film "Aliens."
  • B. Shannyn Sossamon
    Shannyn Sossamon is an American actress and musician known for her roles in early 2000s films such as "A Knight's Tale" and various independent and genre movies.
  • C. Kristen Lang
    Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
  • D. AnnaLynne McCord
    AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
  • E. Yasmine Bleeth
    Yasmine Bleeth is an American actress and former model best known for her role as lifeguard Caroline Holden on the television series Baywatch.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.