Triple

T5026049
Position Surface form Disambiguated ID Type / Status
Subject The Globe Theatre E112976 entity
Predicate shareholder P1553 FINISHED
Object John Heminges E410808 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 Heminges | Statement: [The Globe Theatre, shareholder, John Heminges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Heminges
Context triple: [The Globe Theatre, shareholder, John Heminges]
  • A. John Heminges chosen
    John Heminges was an English actor and theatrical manager best known for helping compile and publish Shakespeare’s First Folio in 1623.
  • B. Hamnet Shakespeare
    Hamnet Shakespeare was the only son of playwright William Shakespeare, whose early death at age 11 is often thought to have influenced his father's later works.
  • C. John Shakespeare
    John Shakespeare was an English glover, wool dealer, and municipal official in Stratford-upon-Avon, best known as the father of playwright William Shakespeare.
  • D. William Heath
    William Heath was a Continental Army general during the American Revolutionary War who later became a prominent Massachusetts politician and judge.
  • E. Edward Alleyn
    Edward Alleyn was a prominent Elizabethan actor and theatre entrepreneur who became a wealthy philanthropist and educational benefactor in London.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738c3aac81908fb6a5c70c97a394 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be928919c08190be76549e1a41f61e completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.