Triple

T14059325
Position Surface form Disambiguated ID Type / Status
Subject Mark di Suvero E338303 entity
Predicate name P16 FINISHED
Object Mark di Suvero E338303 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: Mark di Suvero | Statement: [Mark di Suvero, name, Mark di Suvero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark di Suvero
Context triple: [Mark di Suvero, name, Mark di Suvero]
  • A. Mark di Suvero chosen
    Mark di Suvero is an American abstract sculptor renowned for his monumental, industrial steel constructions installed in prominent outdoor sculpture parks and public spaces worldwide.
  • B. Michael H. de Young
    Michael H. de Young was an American newspaper publisher and civic leader best known as a co-founder of the San Francisco Chronicle and a prominent figure in San Francisco’s cultural and public life.
  • C. Enrique Ballestrero
    Enrique Ballestrero was a Uruguayan football goalkeeper renowned for his standout performances during the inaugural 1930 FIFA World Cup.
  • D. Mike Davis
    Mike Davis is an American college basketball coach best known for succeeding Bob Knight at Indiana University and leading the Hoosiers to the 2002 NCAA championship game.
  • E. Mike Davis
    Mike Davis was an American Marxist urban theorist, historian, and writer best known for his incisive analyses of cities, capitalism, and environmental catastrophe.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb662c37c8190a629278a97060080 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.