Triple

T7044558
Position Surface form Disambiguated ID Type / Status
Subject Edith Bunker E163597 entity
Predicate basedOn P98 FINISHED
Object Else Garnett E180166 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: Else Garnett | Statement: [Edith Bunker, basedOn, Else Garnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Else Garnett
Context triple: [Edith Bunker, basedOn, Else Garnett]
  • A. Else Garnett chosen
    Else Garnett is a central character in the British television sitcom "Till Death Us Do Part," known as the long-suffering, sharp-tongued wife of the bigoted Alf Garnett.
  • B. Verna Fields
    Verna Fields was an American film editor best known for her Oscar-winning work on the blockbuster thriller "Jaws" and her influential role in New Hollywood cinema.
  • C. Gloria Lloyd
    Gloria Lloyd is the daughter of legendary silent film comedian Harold Lloyd and was part of his prominent Hollywood family.
  • D. Janice McNair
    Janice McNair is an American businesswoman and sports executive best known as the principal owner of the NFL’s Houston Texans.
  • E. Felicia Farr
    Felicia Farr is an American actress and former model best known for her film and television work in the 1950s and 1960s.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.