Triple

T10291100
Position Surface form Disambiguated ID Type / Status
Subject Maya hieroglyphs E241364 entity
Predicate decipheredBy P11828 FINISHED
Object David Stuart E610106 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: David Stuart | Statement: [Maya hieroglyphs, decipheredBy, David Stuart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Stuart
Context triple: [Maya hieroglyphs, decipheredBy, David Stuart]
  • A. David Stuart chosen
    David Stuart is an American archaeologist and epigrapher renowned for his groundbreaking work in deciphering Maya hieroglyphic writing.
  • B. David Stuart
    David Stuart was an American physician and politician from Virginia who served as a commissioner for the federal district that became Washington, D.C.
  • C. David Stevenson
    David Stevenson was a Scottish lighthouse engineer and member of the famous Stevenson family of civil engineers.
  • D. Andrew Stewart
    Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
  • E. Andrew Stewart
    Andrew Stewart was a medieval Scottish nobleman of the influential Stewart family, known primarily as a son of Walter Stewart, 6th High Steward of Scotland.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794c79ae88190b80c805f7671e264 completed April 9, 2026, noon
Created at: April 6, 2026, 11:41 a.m.