Triple

T13421805
Position Surface form Disambiguated ID Type / Status
Subject Mary Kathryn Muenster E313375 entity
Predicate hasChild P369 FINISHED
Object Teddi Pritzker E319221 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: Teddi Pritzker | Statement: [Mary Kathryn Muenster, hasChild, Teddi Pritzker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddi Pritzker
Context triple: [Mary Kathryn Muenster, hasChild, Teddi Pritzker]
  • A. Teddi Pritzker chosen
    Teddi Pritzker is a member of the prominent Pritzker family, known for its significant influence in American business and politics.
  • B. Jennifer Pritzker
    Jennifer Pritzker is an American investor, philanthropist, retired U.S. Army lieutenant colonel, and the first openly transgender billionaire.
  • C. Sue Pritzker
    Sue Pritzker was an American businesswoman and philanthropist, a member of the prominent Pritzker family and the mother of Illinois governor J. B. Pritzker.
  • D. Marian Friend Pritzker
    Marian Friend Pritzker is a member of the prominent Pritzker family, known as the mother of film producer and billionaire heiress Gigi Pritzker.
  • E. Gigi Pritzker
    Gigi Pritzker is an American film producer and billionaire heiress known for co-founding the production company OddLot Entertainment and backing a range of independent and studio films.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d86d32c8190a1d9ce72e99426e2 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:39 p.m.