Triple
T6156770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcaeus |
E137340
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Gorgophone |
E121511
|
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: Gorgophone | Statement: [Alcaeus, sibling, Gorgophone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorgophone Context triple: [Alcaeus, sibling, Gorgophone]
-
A.
Gorgophone
chosen
Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
-
B.
Helikon
Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
-
C.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
-
D.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
E.
Poltergust
The Poltergust is Luigi’s signature ghost-sucking vacuum device from the Luigi’s Mansion video game series, used to capture and contain ghosts.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141867fac819093a3093aa8251eac |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.