Triple

T449717
Position Surface form Disambiguated ID Type / Status
Subject Lane E7099 entity
Predicate hasNotableBearer P458 FINISHED
Object Allen Lane E36370 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: Allen Lane | Statement: [Lane, hasNotableBearer, Allen Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Lane
Context triple: [Lane, hasNotableBearer, Allen Lane]
  • A. Faber and Faber
    Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
  • B. Penguin Books chosen
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • C. Bloomsbury
    Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
  • D. Hodder & Stoughton
    Hodder & Stoughton is a major British publishing house known for producing a wide range of fiction, non-fiction, and religious titles.
  • E. W. W. Norton & Company
    W. W. Norton & Company is an American independent publishing house known for its influential nonfiction, literary works, and widely used academic texts.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef691cc8819091729eaac52c9457 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447ff88c0819091062bfcdc09f7c1 completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.