Triple

T3299743
Position Surface form Disambiguated ID Type / Status
Subject Bond University E69299 entity
Predicate namedAfter P63 FINISHED
Object Alan Bond E346370 NE FINISHED

How this triple was built (2 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: Alan Bond | Statement: [Bond University, namedAfter, Alan Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Bond
Context triple: [Bond University, namedAfter, Alan Bond]
  • A. Alan Bond chosen
    Alan Bond was a controversial Australian businessman and entrepreneur best known for his role in winning the 1983 America’s Cup and for his later corporate scandals and imprisonment.
  • B. Colin Bond
    Colin Bond is an Australian former racing driver and team manager best known for his success in touring car and rally competition during the 1960s and 1970s.
  • C. Bruce Broughton
    Bruce Broughton is an American composer best known for his orchestral film and television scores, including work for Disney attractions and numerous Hollywood productions.
  • D. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • E. Noel Chiappa
    Noel Chiappa is a computer scientist and Internet pioneer known for his early work on networking protocols and contributions to the development of the Internet architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a66fcc819093931fe7a6507723 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.