Triple

T16147885
Position Surface form Disambiguated ID Type / Status
Subject Jeff Hephner E391834 entity
Predicate name P16 FINISHED
Object Jeff Hephner E391834 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: Jeff Hephner | Statement: [Jeff Hephner, name, Jeff Hephner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Hephner
Context triple: [Jeff Hephner, name, Jeff Hephner]
  • A. Jeff Hephner chosen
    Jeff Hephner is an American actor known for his roles in television series such as "Mars," "Chicago Fire," and "Boss."
  • B. Roy M. Huffington
    Roy M. Huffington was an American oilman, founder of Huffco, and former U.S. Ambassador to Austria.
  • C. Jeff Weiner
    Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
  • D. Bob Parsons
    Bob Parsons is an American entrepreneur and billionaire best known as the founder of the domain registrar and web hosting company GoDaddy.
  • E. Randy Page
    Randy Page is a public figure whose name is notably associated with the surname Page, though specific widely recognized biographical details about him are limited.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.