Triple
T448993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isis |
E7084
|
entity |
| Predicate | hasCultTitle |
P14926
|
FINISHED |
| Object | Isis-Aphrodite |
E7084
|
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: Isis-Aphrodite | Statement: [Isis, hasCultTitle, Isis-Aphrodite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isis-Aphrodite Context triple: [Isis, hasCultTitle, Isis-Aphrodite]
-
A.
Isis
chosen
Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
-
B.
Neith
Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
-
C.
Aphrodite
Aphrodite is the ancient Greek goddess of love, beauty, desire, and fertility, central to many myths and widely venerated throughout the Greek world.
-
D.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
E.
Inanna
Inanna is the ancient Mesopotamian goddess of love, beauty, sex, war, and political power, later known as Ishtar.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2f01d8fa88190849d720b029db479 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a1492574819095ccb7aa9ce838ad |
completed | March 1, 2026, 8:27 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.