Triple

T7325730
Position Surface form Disambiguated ID Type / Status
Subject Emma (novel) E168869 entity
Predicate publisher P29 FINISHED
Object John Murray E13294 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: John Murray | Statement: [Emma (novel), publisher, John Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Murray
Context triple: [Emma (novel), publisher, John Murray]
  • A. John Murray chosen
    John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
  • B. John Murray
    John Murray was a pioneering Scottish oceanographer and marine biologist often regarded as one of the founders of modern oceanography.
  • C. John Murray
    John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
  • D. John Murray
    John Murray is an American actor and comedian best known for his roles in 1980s films and for being part of the Murray family of performers.
  • E. John Murray
    John Murray was a Scottish nobleman and politician who held the title of 4th Duke of Atholl in the late 18th and early 19th centuries.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a612c08190b7a3fefa811bbcec completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0e3e7481908e6cedbd3f0077ca completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.