Triple

T6423340
Position Surface form Disambiguated ID Type / Status
Subject Marlow E127996 entity
Predicate associatedWithWriter P11016 FINISHED
Object Jerome K. Jerome E437705 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: Jerome K. Jerome | Statement: [Marlow, associatedWithWriter, Jerome K. Jerome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome K. Jerome
Context triple: [Marlow, associatedWithWriter, Jerome K. Jerome]
  • A. Jerome K. Jerome chosen
    Jerome K. Jerome was an English writer and humorist best known for his comic travelogue "Three Men in a Boat."
  • B. P. G. Wodehouse
    P. G. Wodehouse was an English author celebrated for his witty, farcical comic novels and stories, particularly those featuring Jeeves and Wooster.
  • C. William Makepeace Thackeray
    William Makepeace Thackeray was a 19th-century English novelist best known for his satirical works, particularly the novel "Vanity Fair."
  • D. Robert Surtees
    Robert Surtees was an acclaimed American cinematographer known for his richly photographed Hollywood classics and multiple Academy Award-winning work.
  • E. Saki
    Saki is a prominent town in southwestern Nigeria known as a commercial and agricultural hub within Oyo State.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06906eea88190a445c1ff1169c2b1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640dc01188190b67290801aae0d6c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.