Triple

T34353538
Position Surface form Disambiguated ID Type / Status
Subject Merneferre Ay E881649 entity
Predicate royalHorusNameUnknown P122140 FINISHED
Object true LITERAL 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: true | Statement: [Merneferre Ay, royalHorusNameUnknown, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: royalHorusNameUnknown
Context triple: [Merneferre Ay, royalHorusNameUnknown, true]
  • A. usedHorusName
    Indicates that one entity employed or was identified by the Horus name associated with another entity.
  • B. ancientNameUnknown chosen
    Indicates that the ancient or original name associated with an entity is not known or cannot be determined.
  • C. usedRoyalSerekh
    Indicates that one entity employed or displayed the royal serekh (a pharaonic name emblem) associated with another entity.
  • D. hasSerekhName
    Indicates that an entity (typically a ruler) possesses a specific serekh name, the early royal name written within a serekh frame.
  • E. nameInHieroglyphs
    Indicates that an entity’s name is written or represented using hieroglyphic script.
  • F. None of above.

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_69f349bd06008190904c2f86c42749e3 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:58 a.m.