Triple

T9080962
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Bradbury E217620 entity
Predicate name P16 FINISHED
Object Malcolm Bradbury E217620 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: Malcolm Bradbury | Statement: [Malcolm Bradbury, name, Malcolm Bradbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Bradbury
Context triple: [Malcolm Bradbury, name, Malcolm Bradbury]
  • A. Malcolm Bradbury chosen
    Malcolm Bradbury was a British novelist, critic, and academic best known for his satirical campus novels and influential role in modern English literature.
  • B. Malcolm Godden
    Malcolm Godden is a distinguished British scholar of Old English and Anglo-Saxon literature, noted for his influential academic work and leadership in the field.
  • C. Neville Barr
    Neville Barr is an individual notable enough to be recognized as a bearer of the surname Barr, though specific widely known public achievements or roles are not clearly documented.
  • D. Philip Meadows
    Philip Meadows was an English diplomat and government official active in the late 17th and early 18th centuries.
  • E. John Sutherland
    John Sutherland is a prominent British literary critic and scholar known for his extensive work on Victorian literature and popular literary history.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe28ae548190924cc7bbf453f3f3 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.