Triple

T12061272
Position Surface form Disambiguated ID Type / Status
Subject Roxanne Kowalski E287175 entity
Predicate portrayedBy P1507 FINISHED
Object Daryl Hannah E78247 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: Daryl Hannah | Statement: [Roxanne Kowalski, portrayedBy, Daryl Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl Hannah
Context triple: [Roxanne Kowalski, portrayedBy, Daryl Hannah]
  • A. Daryl Hannah chosen
    Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
  • B. Lauren Holly
    Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
  • C. Kristy McNichol
    Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
  • D. Lea Thompson
    Lea Thompson is an American actress best known for her role as Lorraine Baines McFly in the Back to the Future film trilogy.
  • E. Tanya Roberts
    Tanya Roberts was an American actress and model best known for her roles in the James Bond film "A View to a Kill," the TV series "Charlie's Angels," and "That '70s Show."
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a64c8bc8190920c1ed858ea4794 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:48 p.m.