Triple

T3858667
Position Surface form Disambiguated ID Type / Status
Subject Click E90081 entity
Predicate starring P1507 FINISHED
Object Julie Kavner E342294 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: Julie Kavner | Statement: [Click, starring, Julie Kavner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Kavner
Context triple: [Click, starring, Julie Kavner]
  • A. Julie Kavner chosen
    Julie Kavner is an American actress and voice actress best known for voicing Marge Simpson and other characters on the long-running animated television series "The Simpsons."
  • B. Pam Dawber
    Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
  • C. Laraine Newman
    Laraine Newman is an American comedian and actress best known as one of the original cast members of Saturday Night Live in the 1970s.
  • D. Jean Sagal
    Jean Sagal is an American actress and former television co-star best known for appearing alongside her identical twin sister Liz Sagal in the 1980s sitcom "Double Trouble."
  • E. Jane Leeves
    Jane Leeves is an English actress best known for her role as Daphne Moon on the television sitcom "Frasier."
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504228220819082e11b316ba79b08 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.