Triple

T14126922
Position Surface form Disambiguated ID Type / Status
Subject Laraine Newman E340057 entity
Predicate name P16 FINISHED
Object Laraine Newman E340057 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: Laraine Newman | Statement: [Laraine Newman, name, Laraine Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laraine Newman
Context triple: [Laraine Newman, name, Laraine Newman]
  • A. Laraine Newman chosen
    Laraine Newman is an American comedian and actress best known as one of the original cast members of Saturday Night Live in the 1970s.
  • B. Kathy Najimy
    Kathy Najimy is an American actress and comedian best known for her roles in films like "Hocus Pocus" and "Sister Act" and for her extensive voice work in animation.
  • C. Pam Dawber
    Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
  • D. Fran Drescher
    Fran Drescher is an American actress and comedian best known for starring in the 1990s sitcom "The Nanny" and her distinctive nasal voice and comedic style.
  • E. Shelley Long
    Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324531c88190abab2092d1f7145d completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.