Triple

T1580322
Position Surface form Disambiguated ID Type / Status
Subject Murray E33747 entity
Predicate hasNotableBearer P458 FINISHED
Object Murray Sayle
Murray Sayle was an Australian journalist, war correspondent, and writer renowned for his investigative reporting and long-form pieces in publications such as The Sunday Times.
E257404 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: Murray Sayle | Statement: [Murray, hasNotableBearer, Murray Sayle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray Sayle
Context triple: [Murray, hasNotableBearer, Murray Sayle]
  • A. Patrick Sellar
    Patrick Sellar was a 19th-century Scottish lawyer and factor infamous for his central role in the brutal Highland Clearances on the Sutherland estate.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. David Buckley
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • D. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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: Murray Sayle
Triple: [Murray, hasNotableBearer, Murray Sayle]
Generated description
Murray Sayle was an Australian journalist, war correspondent, and writer renowned for his investigative reporting and long-form pieces in publications such as The Sunday Times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Murray Sayle
Target entity description: Murray Sayle was an Australian journalist, war correspondent, and writer renowned for his investigative reporting and long-form pieces in publications such as The Sunday Times.
  • A. Patrick Sellar
    Patrick Sellar was a 19th-century Scottish lawyer and factor infamous for his central role in the brutal Highland Clearances on the Sutherland estate.
  • B. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • C. David Buckley
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • D. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d78fe48190b155f85deca59639 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95d90d2c8190b826a0b988537abf completed March 9, 2026, 9:41 a.m.
NEDg Description generation batch_69ae97a599148190b8da79986a0b69f3 completed March 9, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69ae97f65d7c8190b1405da9728e9d5e completed March 9, 2026, 9:50 a.m.
Created at: March 4, 2026, 7:27 p.m.