Triple

T5312117
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Tom Kitten E119054 entity
Predicate featuresCharacter P626 FINISHED
Object Tabitha Twitchit E510294 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: Tabitha Twitchit | Statement: [The Tale of Tom Kitten, featuresCharacter, Tabitha Twitchit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabitha Twitchit
Context triple: [The Tale of Tom Kitten, featuresCharacter, Tabitha Twitchit]
  • A. Tabitha Twitchit chosen
    Tabitha Twitchit is a mother cat character from Beatrix Potter’s children’s stories, known for her prim, proper, and somewhat fussy demeanor.
  • B. Tabitha
    Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
  • C. Tabitha King
    Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
  • D. Tabitha Grant
    Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • E. Tabitha Lenox
    Tabitha Lenox is a powerful and mischievous witch from the soap opera "Passions," known for her dark magic, eccentric personality, and close bond with her doll-turned-sidekick, Timmy.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:54 p.m.