Triple

T11238910
Position Surface form Disambiguated ID Type / Status
Subject James Blake E266017 entity
Predicate hasSibling P363 FINISHED
Object Thomas Blake E842821 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: Thomas Blake | Statement: [James Blake, hasSibling, Thomas Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Blake
Context triple: [James Blake, hasSibling, Thomas Blake]
  • A. Thomas Blake chosen
    Thomas Blake is a sibling of the English singer-songwriter and producer James Blake.
  • B. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • C. Edward Troup
    Edward Troup is a British tax lawyer and civil servant best known for serving as Executive Chair of HM Revenue and Customs (HMRC).
  • D. Edgar Chisholm
    Edgar Chisholm was a theatre choreographer best known for staging the original production of the British musical "Half a Sixpence."
  • E. Henry Braymore Blake
    Henry Braymore Blake is a fictional U.S. Army lieutenant colonel and the affable, often bumbling commanding officer of the 4077th Mobile Army Surgical Hospital in the television series M*A*S*H.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3eca6bc8190bc0640353a505ad5 completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:30 p.m.