Triple

T13621848
Position Surface form Disambiguated ID Type / Status
Subject Julie Uhrman E325475 entity
Predicate name P16 FINISHED
Object Julie Uhrman E325475 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: Julie Uhrman | Statement: [Julie Uhrman, name, Julie Uhrman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Uhrman
Context triple: [Julie Uhrman, name, Julie Uhrman]
  • A. Julie Uhrman chosen
    Julie Uhrman is an American entrepreneur and sports executive best known as a co-founder and president of the National Women's Soccer League club Angel City FC.
  • B. Julie Schumann
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • C. Anna Kuhn
    Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
  • D. Julie von Voss
    Julie von Voss was a Prussian noblewoman who became a morganatic wife of King Frederick William II of Prussia and held the title Countess Ingenheim.
  • E. Julie Sussman
    Julie Sussman is a computer scientist and author best known for coauthoring the influential textbook "Structure and Interpretation of Computer Programs" and contributing to the development of programming language education.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae7d6908190836172e955b0d7e8 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.