Triple

T20806650
Position Surface form Disambiguated ID Type / Status
Subject Perfect Man E512177 entity
Predicate author P4 FINISHED
Object J. G. Ballard E99340 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: J. G. Ballard | Statement: [Perfect Man, author, J. G. Ballard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. G. Ballard
Context triple: [Perfect Man, author, J. G. Ballard]
  • A. J. G. Ballard chosen
    J. G. Ballard was a British novelist and short story writer renowned for his dystopian, psychologically intense science fiction and influential works such as "Crash" and "Empire of the Sun."
  • B. John Ballard
    John Ballard was a 16th-century English Jesuit priest best known for his involvement in the Babington Plot to assassinate Queen Elizabeth I, for which he was executed.
  • C. Anthony Burgess
    Anthony Burgess was a British novelist, critic, and composer best known for his dystopian novel "A Clockwork Orange."
  • D. Philip K. Dick
    Philip K. Dick was an American science fiction author renowned for his philosophical, reality-bending stories that inspired numerous films, including the one on which "The Adjustment Bureau" is based.
  • E. John Fowles
    John Fowles was an English novelist best known for works such as "The Collector," "The Magus," and "The French Lieutenant's Woman," which blend psychological depth with metafictional and philosophical themes.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8c7221c81908cac8475577b5d5b completed May 16, 2026, 11:07 p.m.
Created at: April 16, 2026, 12:40 p.m.