Triple

T3342736
Position Surface form Disambiguated ID Type / Status
Subject My Name Is Earl E70295 entity
Predicate executiveProducer P7225 FINISHED
Object Marc Buckland
Marc Buckland is an American television director and producer known for his work on popular comedy series such as "My Name Is Earl."
 E348119 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: Marc Buckland | Statement: [My Name Is Earl, executiveProducer, Marc Buckland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marc Buckland
Context triple: [My Name Is Earl, executiveProducer, Marc Buckland]
  • A. Colin Hanton
    Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
  • B. Ian Woodward
    Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
  • C. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • D. Dave Papworth
    Dave Papworth is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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: Marc Buckland
Triple: [My Name Is Earl, executiveProducer, Marc Buckland]
Generated description
Marc Buckland is an American television director and producer known for his work on popular comedy series such as "My Name Is Earl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marc Buckland
Target entity description: Marc Buckland is an American television director and producer known for his work on popular comedy series such as "My Name Is Earl."
  • A. Colin Hanton
    Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
  • B. Ian Woodward
    Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
  • C. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • D. Dave Papworth
    Dave Papworth is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f06f8c8190a6b7c56ac3f5ff07 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a946ba88190bd40ba7481baf28d completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31c3b6c1c8190bc207b9809fa3eed completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31c912d888190a48c71f5210c1037 completed March 12, 2026, 8:05 p.m.
Created at: March 8, 2026, 3:12 p.m.