Triple

T10454198
Position Surface form Disambiguated ID Type / Status
Subject Tabitha E246507 entity
Predicate hasVariant P455 FINISHED
Object Tabatha E246507 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: Tabatha | Statement: [Tabitha, hasVariant, Tabatha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabatha
Context triple: [Tabitha, hasVariant, Tabatha]
  • A. Tabitha chosen
    Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
  • B. Tabitha
    Tabitha is a short-lived 1970s American sitcom that served as a spin-off of the classic series "Bewitched," focusing on the adult life of Samantha and Darrin Stephens' daughter.
  • C. Twyla
    Twyla is a given name most famously associated with American choreographer and dancer Twyla Tharp.
  • D. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe47fee48190b38ec0466ff0165a completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f07c9f48190b0fce7740a2e003a completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.