Triple

T1883433
Position Surface form Disambiguated ID Type / Status
Subject Clifton Daniel E39905 entity
Predicate givenName P17 FINISHED
Object Elbert E47269 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: Elbert | Statement: [Clifton Daniel, givenName, Elbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbert
Context triple: [Clifton Daniel, givenName, Elbert]
  • A. Elbert chosen
    Elbert is a masculine given name of English origin, historically borne by figures such as American lawyer and steel industry executive Elbert H. Gary.
  • B. Mount Elbert
    Mount Elbert is the highest peak in the Rocky Mountains and the tallest mountain in Colorado, located in the Sawatch Range.
  • C. Longs Peak
    Longs Peak is a prominent fourteener in Colorado’s Front Range, renowned for its dramatic profile and challenging Keyhole Route climb.
  • D. Mount Foraker
    Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
  • E. Pikes Peak
    Pikes Peak is a famous fourteener in the Front Range of the Rocky Mountains in Colorado, renowned for its scenic summit views and historic role in inspiring the song "America the Beautiful."
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb11d3cd48190bbd3ef2cf62e0dff completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5eabd8819089f267db92993033 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.