Triple

T242189
Position Surface form Disambiguated ID Type / Status
Subject John Gay E4955 entity
Predicate name P16 FINISHED
Object John Gay E4955 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 Gay | Statement: [John Gay, name, John Gay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Gay
Context triple: [John Gay, name, John Gay]
  • A. John Gay chosen
    John Gay was an 18th-century English poet and dramatist best known for his ballad opera "The Beggar's Opera."
  • B. John Vanbrugh
    John Vanbrugh was an English architect and dramatist best known for his bold, monumental Baroque designs and influential Restoration comedies.
  • C. Allan Ramsay
    Allan Ramsay was an influential 18th-century Scottish poet and playwright, known for helping to revive Scots vernacular literature and for works such as "The Gentle Shepherd."
  • D. Thomas Gray
    Thomas Gray was an 18th-century English poet and scholar best known for his meditative poem "Elegy Written in a Country Churchyard."
  • E. James Shirley
    James Shirley was a prominent English dramatist of the early 17th century, best known for his Caroline-era plays written just before the closing of the theatres in 1642.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36961e5688190b3a1ff61bb06233c completed Feb. 28, 2026, 10:17 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.