Triple
T16908935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Isis at Dion |
E424641
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Aphrodite-Isis |
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: Aphrodite-Isis | Statement: [Sanctuary of Isis at Dion, associatedDeity, Aphrodite-Isis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aphrodite-Isis Context triple: [Sanctuary of Isis at Dion, associatedDeity, Aphrodite-Isis]
-
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.
Isis
"Isis" is a 1975 narrative ballad by Bob Dylan, co-written with Jacques Levy, known for its surreal storytelling and prominent place on the album *Desire*.
-
C.
Isis
Isis is a central character in the cheerleading film "Bring It On," known as the strong, talented captain of the East Compton Clovers squad.
-
D.
Isis
Isis is an American post-metal band known for its atmospheric, heavy soundscapes and influential role in shaping the post-metal genre in the late 1990s and 2000s.
-
E.
Isis
Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d458902481908f79cd5a9f72f7fd |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.