Triple

T1917614
Position Surface form Disambiguated ID Type / Status
Subject Sneferu E40053 entity
Predicate father P120 FINISHED
Object Huni E214748 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: Huni | Statement: [Sneferu, father, Huni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huni
Context triple: [Sneferu, father, Huni]
  • A. Huni chosen
    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.
  • B. Hatti
    Hatti was an ancient Anatolian kingdom and cultural region centered in central Turkey, later absorbed into the Hittite Empire.
  • C. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • D. Ha people
    The Ha people are a Bantu-speaking ethnic group of the African Great Lakes region, primarily inhabiting western Tanzania and parts of neighboring countries, known for their rich agricultural traditions and distinctive cultural practices.
  • E. Minaeans
    The Minaeans were an ancient South Arabian people who established a prosperous caravan-based kingdom in what is now Yemen, known for their role in the incense trade.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbae5760819083c046d0941513de completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:35 p.m.