Triple

T9802706
Position Surface form Disambiguated ID Type / Status
Subject Gigi Pritzker E237878 entity
Predicate sibling P363 FINISHED
Object Penny Pritzker E103569 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: Penny Pritzker | Statement: [Gigi Pritzker, sibling, Penny Pritzker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penny Pritzker
Context triple: [Gigi Pritzker, sibling, Penny Pritzker]
  • A. Penny Pritzker chosen
    Penny Pritzker is an American billionaire businesswoman, philanthropist, and former U.S. Secretary of Commerce who is a prominent member of the Pritzker family.
  • B. 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.
  • C. Jennifer Pritzker
    Jennifer Pritzker is an American investor, philanthropist, retired U.S. Army lieutenant colonel, and the first openly transgender billionaire.
  • D. Teddi Pritzker
    Teddi Pritzker is a member of the prominent Pritzker family, known for its significant influence in American business and politics.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.