Triple

T2747105
Position Surface form Disambiguated ID Type / Status
Subject The Rose E60894 entity
Predicate academyAwardNominationRecipient P6104 FINISHED
Object Bette Midler – Best Actress E9830 NE FINISHED

How this triple was built (3 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: Bette Midler – Best Actress | Statement: [The Rose, academyAwardNominationRecipient, Bette Midler – Best Actress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bette Midler – Best Actress
Context triple: [The Rose, academyAwardNominationRecipient, Bette Midler – Best Actress]
  • A. Bette Midler chosen
    Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
  • B. Meryl Streep
    Meryl Streep is an acclaimed American actress widely regarded as one of the greatest performers of her generation, known for her versatility and record number of Academy Award nominations.
  • C. Golden Calf for Best Actress
    The Golden Calf for Best Actress is a premier Dutch film award honoring the year’s most outstanding leading female performance in cinema.
  • D. Linda Hunt
    Linda Hunt is an American actress known for her Academy Award–winning role in "The Year of Living Dangerously" and for playing Hetty Lange on the television series "NCIS: Los Angeles."
  • E. Audra McDonald
    Audra McDonald is a highly acclaimed American actress and singer, renowned for her record-breaking number of Tony Awards and powerful performances on Broadway, television, and film.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academyAwardNominationRecipient
Context triple: [The Rose, academyAwardNominationRecipient, Bette Midler – Best Actress]
  • A. notableAwardNominationRecipient
    Indicates that an entity has been formally nominated to receive a particular notable award.
  • B. academyAwardNominations chosen
    Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
  • C. supportingActorNominee
    Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
  • D. nominatedIn
    Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
  • E. nominationReceivedBy
    Indicates that an entity has received a nomination from another entity or source.
  • F. None of above.

Provenance (4 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.