Triple

T1473013
Position Surface form Disambiguated ID Type / Status
Subject Manf E27177 entity
Predicate associatedWithDeity P1481 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: [Manf, associatedWithDeity, Sekhmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sekhmet
Context triple: [Manf, associatedWithDeity, 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. Nekhbet
    Nekhbet is an ancient Egyptian vulture goddess who served as the protective patron deity of Upper Egypt and the pharaoh.
  • C. Isis
    Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
  • D. Isis
    Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
  • E. Sobek
    Sobek is an ancient Egyptian crocodile-headed god associated with the Nile, military power, and protection.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5dc90e481908a4935f266bc7850 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b0be2c8190993a5b4592acf7d2 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 8:01 p.m.