Triple

T4696217
Position Surface form Disambiguated ID Type / Status
Subject Rafferty Law E104147 entity
Predicate hasRelative P367 FINISHED
Object Peter Law
Peter Law is a member of the Law family, known primarily as a relative of British model and actor Rafferty Law.
 E460230 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: Peter Law | Statement: [Rafferty Law, hasRelative, Peter Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Law
Context triple: [Rafferty Law, hasRelative, Peter Law]
  • A. Andrew Lawson
    Andrew Lawson was a pioneering early 20th-century geologist best known for his foundational work on California’s geology and seismic activity, including identifying the San Andreas Fault.
  • B. Peter Ball
    Peter Ball is a name shared by several notable individuals, including a former Bishop of Gloucester in the Church of England and various professionals in fields such as sports and academia.
  • C. Peter Graham
    Peter Graham is a character in the horror film "Hereditary," serving as the teenage son whose psychological unraveling reflects the movie’s escalating supernatural and familial terror.
  • D. Peter Hannan
    Peter Hannan is a British cinematographer best known for his work on the cult classic film "Withnail & I."
  • E. Peter Lee
    Peter Lee is a prominent computer scientist recognized for his influential contributions to programming languages and related research.
  • 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: Peter Law
Triple: [Rafferty Law, hasRelative, Peter Law]
Generated description
Peter Law is a member of the Law family, known primarily as a relative of British model and actor Rafferty Law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Law
Target entity description: Peter Law is a member of the Law family, known primarily as a relative of British model and actor Rafferty Law.
  • A. Andrew Lawson
    Andrew Lawson was a pioneering early 20th-century geologist best known for his foundational work on California’s geology and seismic activity, including identifying the San Andreas Fault.
  • B. Peter Ball
    Peter Ball is a name shared by several notable individuals, including a former Bishop of Gloucester in the Church of England and various professionals in fields such as sports and academia.
  • C. Peter Graham
    Peter Graham is a character in the horror film "Hereditary," serving as the teenage son whose psychological unraveling reflects the movie’s escalating supernatural and familial terror.
  • D. Peter Hannan
    Peter Hannan is a British cinematographer best known for his work on the cult classic film "Withnail & I."
  • E. Peter Lee
    Peter Lee is a prominent computer scientist recognized for his influential contributions to programming languages and related research.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63b2eb708190962f460063615f9a completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c3e6f48190b2f61de26192f5c4 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be048d53d08190a72fb6d2e788e3c9 completed March 21, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69be052cc8748190ab17bf87597121f0 completed March 21, 2026, 2:40 a.m.
Created at: March 20, 2026, 1:17 p.m.