Triple

T5572295
Position Surface form Disambiguated ID Type / Status
Subject Dial Records E146229 entity
Predicate recordedArtist P1363 FINISHED
Object Teddy Edwards
Teddy Edwards was an influential American jazz tenor saxophonist known for his work in the bebop and hard bop traditions.
E530982 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: Teddy Edwards | Statement: [Dial Records, recordedArtist, Teddy Edwards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Edwards
Context triple: [Dial Records, recordedArtist, Teddy Edwards]
  • A. Teddy Dunn
    Teddy Dunn is an American actor best known for playing Duncan Kane on the television series "Veronica Mars."
  • B. Malcolm Cecil
    Malcolm Cecil was a pioneering British musician, producer, and electronic music innovator best known for co-creating the massive TONTO synthesizer and shaping the sound of early 1970s Stevie Wonder albums.
  • C. Eddie Parker
    Eddie Parker was an American character actor and stuntman known for his work in numerous Westerns and serials during Hollywood’s classic era.
  • D. Leon Henderson
    Leon Henderson was an American economist and government official who played a key role in managing wartime price controls and rationing during World War II.
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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: Teddy Edwards
Triple: [Dial Records, recordedArtist, Teddy Edwards]
Generated description
Teddy Edwards was an influential American jazz tenor saxophonist known for his work in the bebop and hard bop traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teddy Edwards
Target entity description: Teddy Edwards was an influential American jazz tenor saxophonist known for his work in the bebop and hard bop traditions.
  • A. Teddy Dunn
    Teddy Dunn is an American actor best known for playing Duncan Kane on the television series "Veronica Mars."
  • B. Malcolm Cecil
    Malcolm Cecil was a pioneering British musician, producer, and electronic music innovator best known for co-creating the massive TONTO synthesizer and shaping the sound of early 1970s Stevie Wonder albums.
  • C. Eddie Parker
    Eddie Parker was an American character actor and stuntman known for his work in numerous Westerns and serials during Hollywood’s classic era.
  • D. Leon Henderson
    Leon Henderson was an American economist and government official who played a key role in managing wartime price controls and rationing during World War II.
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020518f348190879ac67dab307134 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284ef6e48190bae9c9a1b1d77f5d completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c037b5be3c819098c8500350267a1e completed March 22, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69c0393144248190a97d1f82b81cc868 completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:37 p.m.