Triple

T16417300
Position Surface form Disambiguated ID Type / Status
Subject Pat Jones E398722 entity
Predicate name P16 FINISHED
Object Pat Jones E398722 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: Pat Jones | Statement: [Pat Jones, name, Pat Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Jones
Context triple: [Pat Jones, name, Pat Jones]
  • A. Pat Jones chosen
    Pat Jones is an American football coach best known for his long tenure as head coach at Oklahoma State University during the 1980s and early 1990s.
  • B. Dick Jones
    Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
  • C. Ed Jones
    Ed Jones is a former American football player best known as a defensive standout for the Dallas Cowboys during their dominant years in the 1970s and early 1980s.
  • D. Fred Jones
    Fred Jones is the confident, blond leader of the Mystery Inc. gang in the Scooby-Doo franchise, known for his trap-making skills and teamwork with Scooby and the others.
  • E. Jeff Jones
    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.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.