Triple

T20124076
Position Surface form Disambiguated ID Type / Status
Subject F.Y.P E490697 entity
Predicate hasMember P10 FINISHED
Object Jeff Jones 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: Jeff Jones | Statement: [F.Y.P, hasMember, Jeff Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Jones
Context triple: [F.Y.P, hasMember, Jeff Jones]
  • A. Jeff Jones
    Jeff Jones was an influential American fantasy and comic book artist renowned for his atmospheric, painterly style and evocative cover illustrations.
  • B. Jeff Jones chosen
    Jeff Jones is a Canadian musician best known as the original bassist for the rock band Rush before being replaced early in the group's history.
  • C. Ken Jones
    Ken Jones was a Welsh Buddhist activist, writer, and teacher known for his work in socially engaged Buddhism and his influential writings on Zen practice and social change.
  • D. Ken Jones
    Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
  • E. Ken Jones
    Ken Jones was a British composer and conductor best known for his film and television scores in the mid-20th century.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6674054188190a15d55a73e86d143 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.