Triple

T14799283
Position Surface form Disambiguated ID Type / Status
Subject Optila E347863 entity
Predicate ethnicity P194 FINISHED
Object Hun E1103873 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: Hun | Statement: [Optila, ethnicity, Hun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hun
Context triple: [Optila, ethnicity, Hun]
  • A. Hun chosen
    The Huns were a nomadic confederation of Central Asian horsemen who became infamous in late antiquity for their fierce military campaigns and invasions of Europe.
  • B. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • C. Huni
    Huni was an ancient Egyptian pharaoh of the late Third Dynasty, regarded as one of the last rulers of the Old Kingdom’s early period.
  • D. Hūr
    Hūr are the beautiful, pure companions described in Islamic tradition as residing in Paradise and promised as a reward to the righteous.
  • E. Khün
    Khün refers to the Tai Khün people, a Tai ethnic group primarily inhabiting the Kengtung region of eastern Myanmar, known for their distinct language and cultural traditions.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.