Triple

T6271233
Position Surface form Disambiguated ID Type / Status
Subject The Gregory Hines Show E140538 entity
Predicate executiveProducer P7225 FINISHED
Object Jeffrey Lane
Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
 E579192 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: Jeffrey Lane | Statement: [The Gregory Hines Show, executiveProducer, Jeffrey Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeffrey Lane
Context triple: [The Gregory Hines Show, executiveProducer, Jeffrey Lane]
  • A. Robert Ford
    Robert Ford was the historical outlaw best known for betraying and killing the famous American bandit Jesse James.
  • B. Jeffrey Lynn
    Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
  • C. Michael Martin
    Michael Martin was a British Labour politician who served as Speaker of the House of Commons in the early 21st century and was later created Baron Martin of Springburn.
  • D. Carl Benton Reid
    Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
  • E. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • 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: Jeffrey Lane
Triple: [The Gregory Hines Show, executiveProducer, Jeffrey Lane]
Generated description
Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeffrey Lane
Target entity description: Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
  • A. Robert Ford
    Robert Ford was the historical outlaw best known for betraying and killing the famous American bandit Jesse James.
  • B. Jeffrey Lynn
    Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
  • C. Michael Martin
    Michael Martin was a British Labour politician who served as Speaker of the House of Commons in the early 21st century and was later created Baron Martin of Springburn.
  • D. Carl Benton Reid
    Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
  • E. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246b507a08190ab5423c54e2b0eb5 completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2471ce99c8190af2305937dfacc9c completed March 24, 2026, 8:11 a.m.
Created at: March 22, 2026, 4:25 p.m.