Triple

T10512680
Position Surface form Disambiguated ID Type / Status
Subject California Split E247953 entity
Predicate producer P490 FINISHED
Object Joseph Walsh E870843 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: Joseph Walsh | Statement: [California Split, producer, Joseph Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Walsh
Context triple: [California Split, producer, Joseph Walsh]
  • A. Joseph Walsh chosen
    Joseph Walsh is an American screenwriter and actor best known for writing the 1974 gambling-themed film "California Split."
  • B. William Walsh
    William Walsh is a name shared by several notable individuals, including politicians, writers, and athletes, whose specific identity depends on the context in which it is used.
  • C. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • D. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • E. Phil Harris
    Phil Harris was an American bandleader, singer, comedian, and radio personality best known for his wisecracking persona on classic radio shows and his later voice work in Disney animated 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b13f4fc8190863d6e1aa7da5733 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:27 p.m.