Triple

T10070407
Position Surface form Disambiguated ID Type / Status
Subject Kyle Pratt E213607 entity
Predicate spouse P13 FINISHED
Object David Pratt
David Pratt is known as the husband of Kyle Pratt.
 E846952 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: David Pratt | Statement: [Kyle Pratt, spouse, David Pratt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Pratt
Context triple: [Kyle Pratt, spouse, David Pratt]
  • A. Grahame Pratt
    Grahame Pratt is an Australian-born actor and producer best known as the longtime husband and manager of American singer and actress Leslie Uggams.
  • B. Daniel Pratt
    Daniel Pratt was a 19th-century American industrialist and cotton gin manufacturer who became one of Alabama’s leading entrepreneurs and the founder of the town of Prattville.
  • C. Peter Pratt
    Peter Pratt was a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • D. Greg Pratt
    Greg Pratt is a fictional emergency medicine physician and central character on the television series "ER," known for his strong-willed personality and evolving leadership in the hospital's ER.
  • E. Roger Pratt
    Roger Pratt is a British cinematographer known for his work on major films such as "Brazil," "Batman," and several entries in the "Harry Potter" series.
  • 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: David Pratt
Triple: [Kyle Pratt, spouse, David Pratt]
Generated description
David Pratt is known as the husband of Kyle Pratt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Pratt
Target entity description: David Pratt is known as the husband of Kyle Pratt.
  • A. Grahame Pratt
    Grahame Pratt is an Australian-born actor and producer best known as the longtime husband and manager of American singer and actress Leslie Uggams.
  • B. Daniel Pratt
    Daniel Pratt was a 19th-century American industrialist and cotton gin manufacturer who became one of Alabama’s leading entrepreneurs and the founder of the town of Prattville.
  • C. Peter Pratt
    Peter Pratt was a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • D. Greg Pratt
    Greg Pratt is a fictional emergency medicine physician and central character on the television series "ER," known for his strong-willed personality and evolving leadership in the hospital's ER.
  • E. Roger Pratt
    Roger Pratt is a British cinematographer known for his work on major films such as "Brazil," "Batman," and several entries in the "Harry Potter" series.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcffa045c8190a08db0bb74cb006a completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317367204819097d3ed6a72a0f8b5 completed April 6, 2026, 2:15 a.m.
NEDg Description generation batch_69d3183a8410819094e81fe9f43717b2 completed April 6, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69d318adfcb081909a3567f5327765ab completed April 6, 2026, 2:21 a.m.
Created at: March 30, 2026, 8:58 p.m.