Triple

T10262116
Position Surface form Disambiguated ID Type / Status
Subject Diplo E240624 entity
Predicate birthName P65 FINISHED
Object Thomas Wesley Pentz E262263 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: Thomas Wesley Pentz | Statement: [Diplo, birthName, Thomas Wesley Pentz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Wesley Pentz
Context triple: [Diplo, birthName, Thomas Wesley Pentz]
  • A. Thomas Wesley Pentz chosen
    Thomas Wesley Pentz, better known as Diplo, is an American DJ, record producer, and songwriter renowned for his influential work in electronic dance music and pop collaborations.
  • B. William Wesley Peters
    William Wesley Peters was an American architect best known as a chief associate and protégé of Frank Lloyd Wright and a leading figure at the Taliesin Fellowship.
  • C. William Wendt
    William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
  • D. Henry Oberholtzer
    Henry Oberholtzer was a distinguished member of the historic Overholt family, known for its prominence in early American industry and regional influence.
  • E. Paul Pfeiffer
    Paul Pfeiffer is the bespectacled, allergy-prone best friend of Kevin Arnold in the coming-of-age television series "The Wonder Years."
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25c8dec8190af9160d9338ffc9c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a8c95ca081908ceaa89eef87fbc9 completed April 18, 2026, 3:52 p.m.
Created at: April 6, 2026, 11:32 a.m.