Triple

T2123441
Position Surface form Disambiguated ID Type / Status
Subject Greene E43976 entity
Predicate hasNotableBearer P458 FINISHED
Object Robert Greene E163575 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: Robert Greene | Statement: [Greene, hasNotableBearer, Robert Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Greene
Context triple: [Greene, hasNotableBearer, Robert Greene]
  • A. Robert Greene chosen
    Robert Greene was an English Renaissance playwright, pamphleteer, and early professional author known for his prose romances and for being one of the first writers to criticize William Shakespeare.
  • B. John Gray
    John Gray is a British political philosopher and author known for his critiques of liberalism, Enlightenment rationalism, and modern humanism.
  • C. Robert Grace
    Robert Grace was an early American civic leader and philanthropist known for his role in colonial Philadelphia’s public institutions and community organizations.
  • D. Charles Green
    Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
  • E. Erle Galbraith
    Erle Galbraith was the fourth wife of famed American singer and entertainer Al Jolson.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb5445848190bbc6dc1236e9f749 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51999ca08190a726040df6825ba5 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.