Triple
T7215360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love of Aphrodite and Adonis |
E149517
|
entity |
| Predicate | featuresDeity |
P20396
|
FINISHED |
| Object | Ares |
E21905
|
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: Ares | Statement: [Love of Aphrodite and Adonis, featuresDeity, Ares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ares Context triple: [Love of Aphrodite and Adonis, featuresDeity, Ares]
-
A.
Ares
chosen
Ares is the Greek god of war, embodying the brutal and chaotic aspects of battle in ancient Greek mythology.
-
B.
Astakos
Astakos is a coastal town in western Greece known as a regional port and ferry hub on the Ionian Sea.
-
C.
Diomed
Diomed was an 18th-century British Thoroughbred racehorse best known for winning the inaugural Epsom Derby and later becoming an influential sire in American bloodlines.
-
D.
Aidos
Aidos is the Greek personification of modesty, shame, and reverence that restrains humans from committing dishonorable acts.
-
E.
Typhoeus
Typhoeus is a monstrous serpentine giant from Greek mythology, often depicted as a fearsome adversary of Zeus and a symbol of chaotic natural forces.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfd82c488190bfa85ffdd7f385ef |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.