Triple

T16630518
Position Surface form Disambiguated ID Type / Status
Subject Merenkahre E404065 entity
Predicate name P16 FINISHED
Object Merenkahre E404065 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: Merenkahre | Statement: [Merenkahre, name, Merenkahre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merenkahre
Context triple: [Merenkahre, name, Merenkahre]
  • A. Merenkahre chosen
    Merenkahre is an ancient Egyptian pharaoh character in the "Night at the Museum" film series, depicted as the father of Ahkmenrah.
  • B. Khenthap
    Khenthap was an early ancient Egyptian queen, likely of the 1st Dynasty, known primarily as the consort of King Hor-Aha and possibly the mother of his successor.
  • C. Naphish
    Naphish is a minor biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • D. Melaghar
    Melaghar is a town in the Indian state of Tripura known as the gateway to the historic Neermahal water palace and its surrounding lake.
  • E. Merir
    Merir is a small, sparsely inhabited island and settlement within the remote Sonsorol Islands of Palau in the western Pacific Ocean.
  • 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_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.