Triple

T6323139
Position Surface form Disambiguated ID Type / Status
Subject Jodie Dallas E141792 entity
Predicate hasRelative P367 FINISHED
Object Jessica Tate E390798 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: Jessica Tate | Statement: [Jodie Dallas, hasRelative, Jessica Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Tate
Context triple: [Jodie Dallas, hasRelative, Jessica Tate]
  • A. Jessica Tate chosen
    Jessica Tate is a central comedic character from the satirical television series "Soap," known for her ditzy charm and involvement in the show's outlandish family dramas.
  • B. Sarah Davenport
    Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
  • C. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • D. Hattie Maloney
    Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
  • E. Mary Richards
    Mary Richards is the independent, career-focused television news producer portrayed by Mary Tyler Moore on the influential 1970s sitcom "The Mary Tyler Moore Show."
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e38f1c81909c7e90b520602bae completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d97d348190bca19013edbf436c completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:29 p.m.