Triple

T17730289
Position Surface form Disambiguated ID Type / Status
Subject Hanis language E442567 entity
Predicate alsoKnownAs P39 FINISHED
Object Hanis Coos 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: Hanis Coos | Statement: [Hanis language, alsoKnownAs, Hanis Coos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanis Coos
Context triple: [Hanis language, alsoKnownAs, Hanis Coos]
  • A. Hanis Coos chosen
    Hanis Coos is a Native American subgroup of the Coos people traditionally inhabiting the southern Oregon coast, with its own distinct language and cultural heritage.
  • B. Elam Lynds
    Elam Lynds was a 19th-century American prison warden and reformer known for implementing strict disciplinary systems in early U.S. penitentiaries.
  • C. Hanson Puthuff
    Hanson Puthuff was an American landscape painter best known for his luminous Southern California scenes and his prominent role in the California Impressionist movement.
  • D. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • E. Nivens McTwisp
    Nivens McTwisp is the name given to the White Rabbit character in Tim Burton’s 2010 film adaptation of "Alice in Wonderland."
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e5ba7c81908f8b06eb6859067f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.