Triple

T19004946
Position Surface form Disambiguated ID Type / Status
Subject Nate Archibald E465055 entity
Predicate givenName P17 FINISHED
Object Nathaniel NE NERFINISHED

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 Archibald, givenName, Nathaniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel
Context triple: [Nate Archibald, 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 a British comedy-drama film starring Joel Fry, known for its introspective and offbeat portrayal of a young filmmaker navigating love and self-doubt.
  • D. Benjamin
    Benjamin is the full given name of the fictional character Benji Dunn from the Mission: Impossible film series.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a3db9c8190a1bf0228e360a6e0 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.