Triple

T4781068
Position Surface form Disambiguated ID Type / Status
Subject Tom Bosley E106164 entity
Predicate coStarredWith P14987 FINISHED
Object Marion Ross E93560 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: Marion Ross | Statement: [Tom Bosley, coStarredWith, Marion Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion Ross
Context triple: [Tom Bosley, coStarredWith, Marion Ross]
  • A. Marion Ross chosen
    Marion Ross is an American actress best known for playing matriarch Marion Cunningham on the classic television sitcom "Happy Days."
  • B. Mary Tyler Moore
    Mary Tyler Moore was an influential American actress and television icon best known for redefining the portrayal of independent working women through her roles on "The Dick Van Dyke Show" and "The Mary Tyler Moore Show."
  • C. Shelley Long
    Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
  • D. Joanna Gleason
    Joanna Gleason is a Canadian-American actress and singer best known for her Tony Award–winning performance in the original Broadway production of "Into the Woods" and her extensive work in film and television.
  • E. Valerie Harper
    Valerie Harper was an American actress best known for her Emmy-winning role as the sharp-witted Rhoda Morgenstern on television in the 1970s.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65aa577c81909ec1b94e47810169 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43d371b081908142e6d66780e0f0 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:21 p.m.