Triple

T347172
Position Surface form Disambiguated ID Type / Status
Subject Nathanael Greene E6966 entity
Predicate givenName P17 FINISHED
Object Nathanael E41013 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: Nathanael | Statement: [Nathanael Greene, givenName, Nathanael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathanael
Context triple: [Nathanael Greene, givenName, Nathanael]
  • A. Nathaniel chosen
    Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
  • B. Elijah
    Elijah is a major Old Testament prophet who, according to the Bible, was taken up to heaven and later appeared alongside Moses during Jesus’ Transfiguration.
  • C. Apostle Thomas
    Apostle Thomas, also known as "Doubting Thomas," was one of the twelve apostles of Jesus Christ, best known for initially doubting Jesus’ resurrection until he personally saw and touched Christ’s wounds.
  • D. Benjamin
    Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
  • E. Samuel
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1a37c08190b1380f6bf8513a37 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7eb6b708190b0dff991c101104f completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.