Triple

T10944852
Position Surface form Disambiguated ID Type / Status
Subject Katharine Ross E258567 entity
Predicate name P16 FINISHED
Object Katharine Ross E258567 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: Katharine Ross | Statement: [Katharine Ross, name, Katharine Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katharine Ross
Context triple: [Katharine Ross, name, Katharine Ross]
  • A. Katharine Ross chosen
    Katharine Ross is an American actress best known for her acclaimed role as Elaine Robinson in the classic 1967 film "The Graduate."
  • B. 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."
  • C. Sondra Locke
    Sondra Locke was an American actress and director best known for her frequent film collaborations and long-term personal relationship with Clint Eastwood during the 1970s and 1980s.
  • D. Suzy Parker
    Suzy Parker was a prominent American fashion model and film actress of the 1950s and 1960s, celebrated as one of the first supermodels and a frequent face of major magazines and advertising campaigns.
  • E. Gina Carter
    Gina Carter is a British film and television producer known for her work on projects such as the period drama "Bright Young Things."
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49677a2508190a113f9f24e318e48 completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:23 p.m.