Triple

T11308745
Position Surface form Disambiguated ID Type / Status
Subject Johnny Buss E267782 entity
Predicate parent P120 FINISHED
Object JoAnn Mueller E313710 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: JoAnn Mueller | Statement: [Johnny Buss, parent, JoAnn Mueller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JoAnn Mueller
Context triple: [Johnny Buss, parent, JoAnn Mueller]
  • A. JoAnn Mueller chosen
    JoAnn Mueller is best known as the former wife of longtime Los Angeles Lakers owner Jerry Buss.
  • B. Nancy Rotering
    Nancy Rotering is an American attorney and Democratic politician who has served as the long-time mayor of Highland Park, Illinois, and has been active in gun control and public safety advocacy.
  • C. Patricia Schultz
    Patricia Schultz is known as the wife of the late American actor Joseph Mascolo, who was famous for his long-running role on the soap opera "Days of Our Lives."
  • D. Patricia Riggen
    Patricia Riggen is a Mexican film director known for her work on inspirational dramas and mainstream Hollywood films such as "Miracles from Heaven" and "The 33."
  • E. Christa Miller
    Christa Miller is an American actress best known for her comedic television roles, including prominent parts on series like Scrubs and Cougar Town.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684ba7e0481908235e3e45f8902e6 completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:32 p.m.