Triple
T7324618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aethra |
E168837
|
entity |
| Predicate | spouseOrConsortOf |
P9813
|
FINISHED |
| Object | Aegeus |
E168836
|
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: Aegeus | Statement: [Aethra, spouseOrConsortOf, Aegeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegeus Context triple: [Aethra, spouseOrConsortOf, Aegeus]
-
A.
Aegeus
chosen
Aegeus is a legendary king of Athens in Greek mythology, best known as the father of the hero Theseus and the namesake of the Aegean Sea.
-
B.
Laius
Laius is a mythological king of Thebes in Greek tragedy, best known for the prophecy that his son would kill him and marry his wife, setting the stage for the story of Oedipus.
-
C.
Polydectes
Polydectes is a king in Greek mythology best known for sending Perseus on the quest to slay Medusa in an attempt to get rid of him.
-
D.
Eurystheus
Eurystheus is the mythological king of Tiryns and Mycenae in Greek mythology who imposed the Twelve Labors upon Heracles.
-
E.
Oebalus
Oebalus is a figure in Greek mythology, traditionally regarded as a king of Sparta and a member of the royal Spartan lineage.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0a1200819089fe3e18493d8bee |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.