Triple
T12503225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War of the Epigoni |
E298881
|
entity |
| Predicate | hasHero |
P8706
|
FINISHED |
| Object | Sthenelus |
E148402
|
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: Sthenelus | Statement: [War of the Epigoni, hasHero, Sthenelus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sthenelus Context triple: [War of the Epigoni, hasHero, Sthenelus]
-
A.
Sthenelus
chosen
Sthenelus is a figure in Greek mythology, known as a king of Mycenae and a descendant of the hero Perseus.
-
B.
Dagisthaeus
Dagisthaeus was a 6th-century Byzantine general known for leading imperial forces during the Lazic War against the Sasanian Empire.
-
C.
Ancaeus
Ancaeus is a figure in Greek mythology, often depicted as a bold but ill-fated hero and Argonaut who met his death during the legendary Calydonian Boar Hunt.
-
D.
Thessalus
Thessalus is a figure from Greek mythology, traditionally known as a son of the hero Jason and Alcimede.
-
E.
Eurytion
Eurytion is a herdsman in Greek mythology best known for guarding the cattle of the three-bodied giant Geryon, whom Heracles killed during his tenth labor.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65570401c819084f9db2eff5fdf3e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.