Triple

T21148532
Position Surface form Disambiguated ID Type / Status
Subject Christopher Wright E521123 entity
Predicate sibling P363 FINISHED
Object John Wright NE NERFINISHED

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 Wright | Statement: [Christopher Wright, sibling, John Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wright
Context triple: [Christopher Wright, sibling, John Wright]
  • A. John Wright
    John Wright is a film editor best known for his work on popular Hollywood comedies, including the Adam Sandler movie "The Waterboy."
  • B. John Wright
    John Wright was an English conspirator best known for his role in the 1605 Gunpowder Plot to assassinate King James I and blow up the Houses of Parliament.
  • C. John Wright
    John Wright was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • D. John Wright
    John Wright is a theatre practitioner best known for establishing the Persephone Theatre, a prominent Canadian regional theatre company.
  • E. John Wright
    John Wright is known as the husband of American actress Laura Wright, recognized for her long-running role on the soap opera "General Hospital."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723ffb578819080a000987459a8a5 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.