Triple

T6984001
Position Surface form Disambiguated ID Type / Status
Subject On Beauty E161916 entity
Predicate publisher P29 FINISHED
Object Hamish Hamilton E45303 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: Hamish Hamilton | Statement: [On Beauty, publisher, Hamish Hamilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamish Hamilton
Context triple: [On Beauty, publisher, Hamish Hamilton]
  • A. Hamish Hamilton
    Hamish Hamilton is a British television director renowned for helming major live broadcasts, including high-profile award shows and music events.
  • B. Hamish Hamilton chosen
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • C. David Urquhart
    David Urquhart was a 19th-century Scottish diplomat, writer, and politician known for his advocacy of Turkish interests and his strong opposition to Russian expansion.
  • D. John Murray
    John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
  • E. John Murray
    John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30ef6d88190aa4bb0d70d54d263 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:31 p.m.