Triple

T9519438
Position Surface form Disambiguated ID Type / Status
Subject Jane Lynch E229608 entity
Predicate name P16 FINISHED
Object Jane Lynch E229608 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: Jane Lynch | Statement: [Jane Lynch, name, Jane Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Lynch
Context triple: [Jane Lynch, name, Jane Lynch]
  • A. Jane Lynch chosen
    Jane Lynch is an American actress and comedian best known for her sharp-witted roles in film and television, particularly as Sue Sylvester on the TV series "Glee."
  • B. Liz Mullally
    Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
  • C. Jo Anne Worley
    Jo Anne Worley is an American comic actress and voice performer best known for her zany, high-energy work on the groundbreaking sketch comedy show "Rowan & Martin's Laugh-In."
  • D. Glenne Headly
    Glenne Headly was an American actress known for her versatile film, television, and stage performances, including prominent roles in comedies and dramas from the 1980s onward.
  • E. Amy Brenneman
    Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.