Triple

T12393615
Position Surface form Disambiguated ID Type / Status
Subject Eliot Indian Bible E296058 entity
Predicate associatedPerson P2308 FINISHED
Object Samuel Green E982825 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: Samuel Green | Statement: [Eliot Indian Bible, associatedPerson, Samuel Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Green
Context triple: [Eliot Indian Bible, associatedPerson, Samuel Green]
  • A. Samuel Green chosen
    Samuel Green was a 17th-century colonial American printer best known for producing the Eliot Indian Bible, one of the earliest Bible translations into a Native American language.
  • B. Samuel Lester
    Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
  • C. Samuel Murray
    Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
  • D. Samuel Benn
    Samuel Benn was a 19th-century American settler and entrepreneur credited as the founder of the city of Aberdeen in Washington State.
  • E. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efa1520819093cdf6ab3025ab20 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.