Triple

T5501602
Position Surface form Disambiguated ID Type / Status
Subject Network SouthEast E144340 entity
Predicate introducedBy P513 FINISHED
Object Chris Green
Chris Green is a British railway manager best known for leading major sectorisation reforms at British Rail, including the creation and branding of Network SouthEast.
 E532225 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: Chris Green | Statement: [Network SouthEast, introducedBy, Chris Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chris Green
Context triple: [Network SouthEast, introducedBy, Chris Green]
  • A. Jack N. Green
    Jack N. Green is an American cinematographer best known for his longtime collaboration with Clint Eastwood on films such as "Unforgiven" and "The Bridges of Madison County."
  • B. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • C. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • D. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • E. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • 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: Chris Green
Triple: [Network SouthEast, introducedBy, Chris Green]
Generated description
Chris Green is a British railway manager best known for leading major sectorisation reforms at British Rail, including the creation and branding of Network SouthEast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chris Green
Target entity description: Chris Green is a British railway manager best known for leading major sectorisation reforms at British Rail, including the creation and branding of Network SouthEast.
  • A. Jack N. Green
    Jack N. Green is an American cinematographer best known for his longtime collaboration with Clint Eastwood on films such as "Unforgiven" and "The Bridges of Madison County."
  • B. Scott Green
    Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
  • C. Scott Green
    Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
  • D. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • E. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0a512c81908f077378917e5879 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027a10fa08190853d45354fd9b044 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c0345909388190bfa746d22474ab8f completed March 22, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69c0354e95808190b4386e2796291dba completed March 22, 2026, 6:30 p.m.
Created at: March 22, 2026, 3:32 p.m.