Triple

T16909678
Position Surface form Disambiguated ID Type / Status
Subject Dan Vasser E410161 entity
Predicate relative P37 FINISHED
Object Katie Vasser E1240218 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: Katie Vasser | Statement: [Dan Vasser, relative, Katie Vasser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Vasser
Context triple: [Dan Vasser, relative, Katie Vasser]
  • A. Katie Vasser chosen
    Katie Vasser is a central character in the television series "Journeyman," known as the supportive yet conflicted wife of time-traveling reporter Dan Vasser.
  • B. Katie Luber
    Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
  • C. Kristie Mewis
    Kristie Mewis is an American professional soccer midfielder known for her play in the National Women's Soccer League and appearances with the United States women's national team.
  • D. Alexis Knief
    Alexis Knief is the longtime wife of actor Timothy Olyphant, known for maintaining a very private life outside of his Hollywood career.
  • E. Katie Dippold
    Katie Dippold is an American screenwriter and producer best known for her work on the comedy film "The Heat" and for writing on shows like "Parks and Recreation."
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3bdc3081908a9b4f6e63405348 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.