Triple

T1129402
Position Surface form Disambiguated ID Type / Status
Subject Bastet E24792 entity
Predicate sibling P363 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: [Bastet, sibling, Sekhmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sekhmet
Context triple: [Bastet, sibling, 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. Isis
    Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
  • C. Isis
    Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
  • D. Neith
    Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
  • E. Wadjet
    Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad845648190a3ee31506ac1a84c completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:44 p.m.