Triple

T3123453
Position Surface form Disambiguated ID Type / Status
Subject Hathor E65238 entity
Predicate relatedDeity P23286 FINISHED
Object Sekhmet E28285 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: Sekhmet | Statement: [Hathor, relatedDeity, Sekhmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sekhmet
Context triple: [Hathor, relatedDeity, Sekhmet]
  • A. Sekhmet chosen
    Sekhmet is an ancient Egyptian lioness-headed goddess associated with war, destruction, and healing, revered as a powerful protector and bringer of both plague and cure.
  • B. Taweret
    Taweret is an ancient Egyptian protective goddess, typically depicted as a pregnant hippopotamus, who guarded childbirth and mothers.
  • C. Nekhbet
    Nekhbet is an ancient Egyptian vulture goddess who served as the protective patron deity of Upper Egypt and the pharaoh.
  • D. Isis
    Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
  • E. Isis
    Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52c105c8190b8128e66d9b9e8a0 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276e63ce481908671453ca67586f1 completed March 12, 2026, 8:18 a.m.
Created at: March 8, 2026, 3:04 p.m.