Triple

T12997541
Position Surface form Disambiguated ID Type / Status
Subject Sandra Bernhard E322078 entity
Predicate name P16 FINISHED
Object Sandra Bernhard E322078 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: Sandra Bernhard | Statement: [Sandra Bernhard, name, Sandra Bernhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Bernhard
Context triple: [Sandra Bernhard, name, Sandra Bernhard]
  • A. Sandra Bernhard chosen
    Sandra Bernhard is an American comedian, actress, singer, and author known for her sharp, satirical stand-up and distinctive roles in film and television.
  • B. Cheri Oteri
    Cheri Oteri is an American comedian and actress best known as a cast member on "Saturday Night Live" in the late 1990s, where she created several popular recurring characters.
  • C. Sally Diller
    Sally Diller is a daughter of pioneering American stand-up comedian and actress Phyllis Diller.
  • D. Kathleen Madigan
    Kathleen Madigan is an American stand-up comedian known for her sharp observational humor and numerous appearances on television comedy specials and late-night shows.
  • E. Marilu Henner
    Marilu Henner is an American actress and author best known for her role as Elaine Nardo on the TV sitcom "Taxi" and for her appearances in numerous film and television projects.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fe9d608190b9d503f4da1fe0c0 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:45 p.m.