Triple

T11028526
Position Surface form Disambiguated ID Type / Status
Subject Shiksa Goddess E260695 entity
Predicate originalPerformer P11499 FINISHED
Object Norbert Leo Butz E502573 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: Norbert Leo Butz | Statement: [Shiksa Goddess, originalPerformer, Norbert Leo Butz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norbert Leo Butz
Context triple: [Shiksa Goddess, originalPerformer, Norbert Leo Butz]
  • A. Norbert Leo Butz chosen
    Norbert Leo Butz is a Tony Award–winning American stage actor and singer best known for his leading roles in major Broadway musicals such as Dirty Rotten Scoundrels and Catch Me If You Can.
  • B. Paul Butz
    Paul Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
  • C. Peter Butz
    Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Robert Butz
    Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
  • E. Arthur Butz
    Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d245a0819085135cdee9b256c5 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8372fac81908c68219b89ba45c1 completed April 18, 2026, 6:06 p.m.
Created at: April 8, 2026, 9:25 p.m.