Triple

T8014010
Position Surface form Disambiguated ID Type / Status
Subject Ineos E186565 entity
Predicate foundedBy P104 FINISHED
Object John Hollowood
John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
 E722424 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: John Hollowood | Statement: [Ineos, foundedBy, John Hollowood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hollowood
Context triple: [Ineos, foundedBy, John Hollowood]
  • A. John Hoyland
    John Hoyland was a prominent British abstract painter known for his bold use of color and large-scale, non-figurative works.
  • B. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • C. John Bluthal
    John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
  • D. Denis Worrall
    Denis Worrall is a South African politician and diplomat best known as a prominent anti-apartheid reformist and co-founder of the Democratic Party.
  • E. Clive Egleton
    Clive Egleton was a British author best known for his espionage and military thrillers, several of which were adapted for film and television.
  • 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: John Hollowood
Triple: [Ineos, foundedBy, John Hollowood]
Generated description
John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hollowood
Target entity description: John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
  • A. John Hoyland
    John Hoyland was a prominent British abstract painter known for his bold use of color and large-scale, non-figurative works.
  • B. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • C. John Bluthal
    John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
  • D. Denis Worrall
    Denis Worrall is a South African politician and diplomat best known as a prominent anti-apartheid reformist and co-founder of the Democratic Party.
  • E. Clive Egleton
    Clive Egleton was a British author best known for his espionage and military thrillers, several of which were adapted for film and television.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6744324c8190875444437d8dcc64 completed April 1, 2026, 6:43 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:19 p.m.