Triple

T10457623
Position Surface form Disambiguated ID Type / Status
Subject Girls E246586 entity
Predicate mainCharacter P1183 FINISHED
Object Jessa Johansson E154458 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: Jessa Johansson | Statement: [Girls, mainCharacter, Jessa Johansson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessa Johansson
Context triple: [Girls, mainCharacter, Jessa Johansson]
  • A. Jessa Johansson chosen
    Jessa Johansson is a free-spirited, impulsive, and often self-destructive young woman from the television series "Girls," known for her bohemian lifestyle and complicated relationships.
  • B. Jillian Kugler
    Jillian Kugler is a television producer best known for her executive production work on the series "Hand of God."
  • C. Andrea Vogel
    Andrea Vogel is the wife of journalist Lloyd Vogel in the film "A Beautiful Day in the Neighborhood," where she supports him through his transformative relationship with Fred Rogers.
  • D. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • E. Kari Lizer
    Kari Lizer is an American television writer, producer, and actress best known for creating the sitcom "The New Adventures of Old Christine."
  • 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_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.