Triple

T1342838
Position Surface form Disambiguated ID Type / Status
Subject Hodder & Stoughton E28503 entity
Predicate hasImprint P2763 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: [Hodder & Stoughton, hasImprint, John Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Murray
Context triple: [Hodder & Stoughton, hasImprint, 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 is an American actor and comedian best known for his roles in 1980s films and for being part of the Murray family of performers.
  • C. Hamish Hamilton
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • D. Hamish Hamilton
    Hamish Hamilton is a British television director renowned for helming major live broadcasts, including high-profile award shows and music events.
  • E. William Heinemann
    William Heinemann is a British publishing house, founded in the late 19th century, known for issuing works by prominent literary and non-fiction authors.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc632cbc88190a64897f1b101c699 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.