Triple

T5996461
Position Surface form Disambiguated ID Type / Status
Subject Nate Silver E133481 entity
Predicate givenName P17 FINISHED
Object Nathaniel 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: Nathaniel | Statement: [Nate Silver, givenName, Nathaniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel
Context triple: [Nate Silver, givenName, Nathaniel]
  • 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. Benjamin
    Benjamin is a masculine given name of Hebrew origin meaning "son of the right hand" or "favored son," widely used in many cultures and languages.
  • C. 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.
  • D. Benjamin
    Benjamin is the given name of the 20th-century Lithuanian-born American artist and social realist Ben Shahn.
  • E. Benjamin
    Benjamin is one of the twelve tribes of Israel, traditionally descended from Jacob’s youngest son and often associated with valor in battle and a favored status in biblical narratives.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e963f3c819082dd755e328ab947 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10876d4d0819083ac7431c8abaedd completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.