Triple

T18592816
Position Surface form Disambiguated ID Type / Status
Subject Caroline Farrell E454411 entity
Predicate portrayedBy P1507 FINISHED
Object Eliza Dushku 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: Eliza Dushku | Statement: [Caroline Farrell, portrayedBy, Eliza Dushku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliza Dushku
Context triple: [Caroline Farrell, portrayedBy, Eliza Dushku]
  • A. Eliza Dushku chosen
    Eliza Dushku is an American actress best known for her roles in films like "Bring It On" and TV series such as "Buffy the Vampire Slayer" and "Dollhouse."
  • B. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • C. Allison Mack
    Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
  • D. Natasha Henstridge
    Natasha Henstridge is a Canadian actress and former model best known for her breakout role as the alien-human hybrid Sil in the science fiction horror film "Species" and its sequels.
  • E. Claudia Christian
    Claudia Christian is an American actress best known for her role as Commander Susan Ivanova on the science fiction television series "Babylon 5."
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b7ce3881908302ee27a2cf80d6 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.