Triple

T9162512
Position Surface form Disambiguated ID Type / Status
Subject Lisa Hartman Black E219859 entity
Predicate notableWork P4 FINISHED
Object 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.
E781439 NE FINISHED

How this triple was built (4 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 | Statement: [Lisa Hartman Black, notableWork, Tabitha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabitha
Context triple: [Lisa Hartman Black, notableWork, Tabitha]
  • A. Tabitha
    Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
  • B. Tabitha Grant
    Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • 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 Twitchit
    Tabitha Twitchit is a mother cat character from Beatrix Potter’s children’s stories, known for her prim, proper, and somewhat fussy demeanor.
  • E. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tabitha
Triple: [Lisa Hartman Black, notableWork, Tabitha]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tabitha
Target entity description: 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.
  • A. Tabitha
    Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
  • B. Tabitha Grant
    Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • 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 Twitchit
    Tabitha Twitchit is a mother cat character from Beatrix Potter’s children’s stories, known for her prim, proper, and somewhat fussy demeanor.
  • E. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • F. None of above. chosen

Provenance (5 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054770a0c819095cf0a7cc8d1a057 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0551895e48190bf1a4754bb5ab94c completed April 4, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69d055b23f8c8190973832f60402c703 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.