Triple

T23354620
Position Surface form Disambiguated ID Type / Status
Subject Paul Sacher E593010 entity
Predicate name P16 FINISHED
Object Paul Sacher NE NERFINISHED

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: Paul Sacher | Statement: [Paul Sacher, name, Paul Sacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Sacher
Context triple: [Paul Sacher, name, Paul Sacher]
  • A. Paul Sacher chosen
    Paul Sacher was a Swiss conductor, patron, and founder of major contemporary music institutions who commissioned and supported many leading 20th-century composers.
  • B. Felix Weingartner
    Felix Weingartner was an Austrian conductor and composer renowned for his interpretations of Beethoven and for leading major European orchestras in the late 19th and early 20th centuries.
  • C. Alfred Nehring
    Alfred Nehring was a German philologist and linguist known for his work on Slavic and Baltic languages in the late 19th and early 20th centuries.
  • D. Paul Klemperer
    Paul Klemperer is a British economist renowned for his work on auction theory and market design, including contributions that shaped major spectrum auctions.
  • E. Bruno Cremer
    Bruno Cremer was a French actor best known for his intense character roles in film and television, particularly his long-running portrayal of Inspector Maigret.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a169bb88190a2ca659fce1133e5 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.