Triple

T8577711
Position Surface form Disambiguated ID Type / Status
Subject Spock’s Beard E203088 entity
Predicate hasPart P35 FINISHED
Object Mike Thorne
Mike Thorne is a musician best known as a member of the American progressive rock band Spock’s Beard.
 E743765 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: Mike Thorne | Statement: [Spock’s Beard, hasPart, Mike Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike Thorne
Context triple: [Spock’s Beard, hasPart, Mike Thorne]
  • A. Ken Thorne
    Ken Thorne was a British composer and Oscar-winning film scorer known for his work on major films including entries in the Superman series.
  • B. Michael Greenwood
    Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
  • C. Chris Lehane
    Chris Lehane is an American political strategist and communications expert known for advising high-profile Democratic campaigns and figures.
  • D. Michael Forsyth
    Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
  • E. James Thorne
    James Thorne was a British merchant best known as the husband of Manuela Sáenz, the Ecuadorian revolutionary and close companion of Simón Bolívar.
  • 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: Mike Thorne
Triple: [Spock’s Beard, hasPart, Mike Thorne]
Generated description
Mike Thorne is a musician best known as a member of the American progressive rock band Spock’s Beard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike Thorne
Target entity description: Mike Thorne is a musician best known as a member of the American progressive rock band Spock’s Beard.
  • A. Ken Thorne
    Ken Thorne was a British composer and Oscar-winning film scorer known for his work on major films including entries in the Superman series.
  • B. Michael Greenwood
    Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
  • C. Chris Lehane
    Chris Lehane is an American political strategist and communications expert known for advising high-profile Democratic campaigns and figures.
  • D. Michael Forsyth
    Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
  • E. James Thorne
    James Thorne was a British merchant best known as the husband of Manuela Sáenz, the Ecuadorian revolutionary and close companion of Simón Bolívar.
  • 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_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d5c45e0819087c5e6933d4a01bd completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:22 p.m.