Triple
T3123427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hathor |
E65238
|
entity |
| Predicate | equatedWith |
P6530
|
FINISHED |
| Object | Aphrodite |
E27745
|
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: Aphrodite | Statement: [Hathor, equatedWith, Aphrodite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aphrodite Context triple: [Hathor, equatedWith, Aphrodite]
-
A.
Aphrodite
chosen
Aphrodite is the ancient Greek goddess of love, beauty, desire, and fertility, central to many myths and widely venerated throughout the Greek world.
-
B.
Hera
Hera is the queen of the Olympian gods in Greek mythology, revered as the goddess of marriage, women, and family.
-
C.
Astarte
Astarte is an ancient Near Eastern goddess associated primarily with fertility, sexuality, and war, venerated across Canaanite, Phoenician, and later Mediterranean cultures.
-
D.
Artemis
Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
-
E.
Athena
Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
- 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_69b20f72c2048190ab2aa40a109f5976 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.