Triple

T15353223
Position Surface form Disambiguated ID Type / Status
Subject Sol Hurok E367105 entity
Predicate name P16 FINISHED
Object Sol Hurok E367105 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: Sol Hurok | Statement: [Sol Hurok, name, Sol Hurok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sol Hurok
Context triple: [Sol Hurok, name, Sol Hurok]
  • A. Sol Hurok chosen
    Sol Hurok was a renowned 20th-century impresario and arts promoter best known for bringing world-class musicians, dancers, and performing artists to American audiences.
  • B. Charles Schoenbaum
    Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
  • C. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • D. Ralph Berger
    Ralph Berger is a central character in Clifford Odets' play "Awake and Sing!", representing the struggles and aspirations of a young man in a working-class Jewish family during the Great Depression.
  • E. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.