Triple

T4868571
Position Surface form Disambiguated ID Type / Status
Subject American Girl E109030 entity
Predicate producer P490 FINISHED
Object Denny Cordell
Denny Cordell was a British record producer best known for his work in the 1960s and 1970s with artists such as Joe Cocker, Procol Harum, and The Moody Blues.
E477247 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: Denny Cordell | Statement: [American Girl, producer, Denny Cordell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denny Cordell
Context triple: [American Girl, producer, Denny Cordell]
  • A. Mal Evans
    Mal Evans was a longtime road manager, assistant, and friend of the Beatles who occasionally appeared in their films and recordings.
  • B. Charlie Cooke
    Charlie Cooke is a Scottish former professional footballer best known as a skillful winger for Chelsea in the 1960s and 1970s.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. Dennis Crosby
    Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
  • 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: Denny Cordell
Triple: [American Girl, producer, Denny Cordell]
Generated description
Denny Cordell was a British record producer best known for his work in the 1960s and 1970s with artists such as Joe Cocker, Procol Harum, and The Moody Blues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denny Cordell
Target entity description: Denny Cordell was a British record producer best known for his work in the 1960s and 1970s with artists such as Joe Cocker, Procol Harum, and The Moody Blues.
  • A. Mal Evans
    Mal Evans was a longtime road manager, assistant, and friend of the Beatles who occasionally appeared in their films and recordings.
  • B. Charlie Cooke
    Charlie Cooke is a Scottish former professional footballer best known as a skillful winger for Chelsea in the 1960s and 1970s.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. Dennis Crosby
    Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7d809081909fc7c80c56f72840 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ea7cd88190b89f5cc1d85c1994 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6a22858081909be389f3d40e518c completed March 21, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69be6a8131ec8190bf9ccf3eea10ce83 completed March 21, 2026, 9:53 a.m.
Created at: March 20, 2026, 1:27 p.m.