Triple

T13206506
Position Surface form Disambiguated ID Type / Status
Subject Peter Garnsey E314379 entity
Predicate coAuthor P398 FINISHED
Object Richard Saller E896175 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: Richard Saller | Statement: [Peter Garnsey, coAuthor, Richard Saller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Saller
Context triple: [Peter Garnsey, coAuthor, Richard Saller]
  • A. Richard Saller
    Richard Saller is an American classical historian and academic administrator who serves as president of Stanford University.
  • B. Richard P. Saller chosen
    Richard P. Saller is a historian and classical scholar known for his influential research on the social and economic structures of ancient Rome, particularly Roman family life and patriarchy.
  • C. Richard Schayer
    Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
  • D. Robert Schrader
    Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
  • E. Richard Kletter
    Richard Kletter is an American screenwriter and producer known for his work in film and television, including contributions to family and adventure movies.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9b0cf08190a1d71cc94139539d completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460e94a08190a518f466f55db482 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:17 p.m.