Triple

T1324095
Position Surface form Disambiguated ID Type / Status
Subject Sekhmet E28285 entity
Predicate closelyRelatedDeity P23286 FINISHED
Object Bastet E24792 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: Bastet | Statement: [Sekhmet, closelyRelatedDeity, Bastet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bastet
Context triple: [Sekhmet, closelyRelatedDeity, Bastet]
  • A. Bastet chosen
    Bastet is an ancient Egyptian goddess, often depicted as a lioness or cat, associated with home, fertility, music, and the protective, nurturing aspects of the sun.
  • B. Wadjet
    Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
  • C. Sekhmet
    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.
  • D. Mr. Mistoffelees
    Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
  • E. Abyssinian maid
    The Abyssinian maid is a mysterious, enchanting figure in Samuel Taylor Coleridge’s poem “Kubla Khan,” envisioned as a singing musician playing a dulcimer in a vivid, dreamlike vision.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.