Triple

T12731585
Position Surface form Disambiguated ID Type / Status
Subject Mary-Ellis Bunim E304250 entity
Predicate name P16 FINISHED
Object Mary-Ellis Bunim E304250 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: Mary-Ellis Bunim | Statement: [Mary-Ellis Bunim, name, Mary-Ellis Bunim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary-Ellis Bunim
Context triple: [Mary-Ellis Bunim, name, Mary-Ellis Bunim]
  • A. Mary-Ellis Bunim chosen
    Mary-Ellis Bunim was an American television producer best known as a pioneer of modern reality TV, particularly through co-creating influential series like MTV’s "The Real World."
  • B. Betsy Gaghan
    Betsy Gaghan is the daughter of American screenwriter and director Stephen Gaghan.
  • C. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • D. Tana Mundkowsky
    Tana Mundkowsky is an American woman best known as the wife of The Killers’ lead singer Brandon Flowers and for her influence on some of the band’s songs and imagery.
  • E. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:25 p.m.