Triple
T22173841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anteros |
E547990
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Ares |
—
|
NE NERFINISHED |
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: [Anteros, parent, Ares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ares Context triple: [Anteros, parent, Ares]
-
A.
Ares
chosen
Ares is the Greek god of war, embodying the brutal and chaotic aspects of battle in ancient Greek mythology.
-
B.
Ares
Ares is a coastal municipality in the autonomous community of Galicia in northwestern Spain, known for its fishing tradition and scenic beaches along the Ría de Ares.
-
C.
Arês
Arês is a small municipality located in the state of Rio Grande do Norte in northeastern Brazil, forming part of the Natal metropolitan region.
-
D.
Astakos
Astakos is a coastal town in western Greece known as a regional port and ferry hub on the Ionian Sea.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.