Triple

T6296695
Position Surface form Disambiguated ID Type / Status
Subject Mary Lynn Rajskub E141147 entity
Predicate name P16 FINISHED
Object Mary Lynn Rajskub E141147 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: Mary Lynn Rajskub | Statement: [Mary Lynn Rajskub, name, Mary Lynn Rajskub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Lynn Rajskub
Context triple: [Mary Lynn Rajskub, name, Mary Lynn Rajskub]
  • A. Mary Lynn Rajskub chosen
    Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
  • B. Katey Sagal
    Katey Sagal is an American actress and singer best known for her television roles, including Peggy Bundy on "Married... with Children" and Gemma Teller Morrow on "Sons of Anarchy."
  • C. Jill Eikenberry
    Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
  • D. 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."
  • E. 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."
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d25ff1081908d07c649555f17c4 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:27 p.m.