Triple

T6016988
Position Surface form Disambiguated ID Type / Status
Subject Deacon Jones E133971 entity
Predicate birthName P65 FINISHED
Object David D. Jones
David D. Jones, better known as Deacon Jones, was a Hall of Fame American football defensive end famed for revolutionizing pass rushing in the NFL.
 E570136 NE FINISHED

How this triple was built (4 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: David D. Jones | Statement: [Deacon Jones, birthName, David D. Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David D. Jones
Context triple: [Deacon Jones, birthName, David D. Jones]
  • A. Richard T. Jones
    Richard T. Jones is an American actor known for his roles in film and television, including prominent performances in dramas and thrillers.
  • B. F. Richard Jones
    F. Richard Jones was an American film director and producer of the silent and early sound era, known for his work on comedies and collaborations with major studios like Mack Sennett and Hal Roach.
  • C. J.G. Jones
    J.G. Jones is an American comic book artist best known for his detailed cover work and contributions to major publishers like DC and Marvel.
  • D. Kenneth V. Jones
    Kenneth V. Jones was a British composer best known for his film and television scores in the mid-20th century.
  • E. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David D. Jones
Triple: [Deacon Jones, birthName, David D. Jones]
Generated description
David D. Jones, better known as Deacon Jones, was a Hall of Fame American football defensive end famed for revolutionizing pass rushing in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David D. Jones
Target entity description: David D. Jones, better known as Deacon Jones, was a Hall of Fame American football defensive end famed for revolutionizing pass rushing in the NFL.
  • A. Richard T. Jones
    Richard T. Jones is an American actor known for his roles in film and television, including prominent performances in dramas and thrillers.
  • B. F. Richard Jones
    F. Richard Jones was an American film director and producer of the silent and early sound era, known for his work on comedies and collaborations with major studios like Mack Sennett and Hal Roach.
  • C. J.G. Jones
    J.G. Jones is an American comic book artist best known for his detailed cover work and contributions to major publishers like DC and Marvel.
  • D. Kenneth V. Jones
    Kenneth V. Jones was a British composer best known for his film and television scores in the mid-20th century.
  • E. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • F. None of above. chosen

Provenance (5 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8458588190a78aa32cbdbecfb1 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13564c2088190847cde0b9ec02591 completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c1362a78548190b3ccbc9089821b40 completed March 23, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69c1368d452c8190bc713c0f508250a8 completed March 23, 2026, 12:48 p.m.
Created at: March 22, 2026, 4:06 p.m.