Triple

T8577976
Position Surface form Disambiguated ID Type / Status
Subject Richard Dawson E203094 entity
Predicate child P120 FINISHED
Object Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
 E744168 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: Mark Dawson | Statement: [Richard Dawson, child, Mark Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Dawson
Context triple: [Richard Dawson, child, Mark Dawson]
  • A. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • B. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • C. John Dawson
    John Dawson was an American musician best known as a founding member and primary songwriter of the country rock band New Riders of the Purple Sage.
  • D. Matthew Dawson
    Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
  • E. Jeremy Dawson
    Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
  • 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: Mark Dawson
Triple: [Richard Dawson, child, Mark Dawson]
Generated description
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Dawson
Target entity description: Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
  • A. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • B. John Dawson
    John Dawson was an American musician best known as a founding member and primary songwriter of the country rock band New Riders of the Purple Sage.
  • C. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • D. Matthew Dawson
    Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
  • E. Jeremy Dawson
    Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea989bec81909b8c8b4af7c568ff completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89a5d18c81908a21cf5e5944d6e1 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:22 p.m.