Triple
T5431802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electryon |
E121510
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Pterelaus |
E478309
|
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: Pterelaus | Statement: [Electryon, relative, Pterelaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pterelaus Context triple: [Electryon, relative, Pterelaus]
-
A.
Pterelaus
chosen
Pterelaus is a mythological king in Greek legend, known for his golden, immortality-granting hair and his conflict with Amphitryon over the kingdom of the Taphians.
-
B.
Phorcydes
Phorcydes is a primordial sea-deity figure from Greek mythology, often associated with ancient oceanic powers and monstrous offspring.
-
C.
Phylacus
Phylacus is a figure from Greek mythology known as a leader of the Magnetes, a Thessalian people mentioned in epic tradition.
-
D.
Cleinias
Cleinias is a young Athenian nobleman who serves as the central interlocutor and philosophical pupil of Socrates in Plato’s dialogue *Euthydemus*.
-
E.
Phaenarete
Phaenarete was an Athenian midwife best known as the mother of the philosopher Socrates.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883f982c8190bdf277e1ba85ff7b |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70d2a5b481908a6fdc28bb2d2e11 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:06 p.m.