Triple

T16630531
Position Surface form Disambiguated ID Type / Status
Subject Merenkahre E404065 entity
Predicate hasChild P369 FINISHED
Object Ahkmenrah E399641 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: Ahkmenrah | Statement: [Merenkahre, hasChild, Ahkmenrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahkmenrah
Context triple: [Merenkahre, hasChild, Ahkmenrah]
  • A. Ahkmenrah chosen
    Ahkmenrah is a fictional ancient Egyptian pharaoh whose magical tablet brings museum exhibits to life in the "Night at the Museum" film series.
  • B. Dankaur
    Dankaur is a town in the Indian state of Uttar Pradesh, situated within the rapidly developing National Capital Region near Delhi.
  • C. Hyrkoon
    Hyrkoon is a remote, mountainous region in the far east of the world of *A Song of Ice and Fire*, associated with ancient legends and the warrior-king Hyrkoon the Hero.
  • D. Per-Amun
    Per-Amun is the ancient Egyptian name for Pelusium, a prominent frontier city in the eastern Nile Delta that served as a key military and trade gateway between Egypt and the Near East.
  • E. Atayi
    Atayi was an important poet of Chagatai Turkish literature, known for contributing to the classical Turkic poetic tradition.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e5d4448190bfb1b6157bbe5285 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b7b94481909dfc0dd7b009a5b4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.