Triple
T1996374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calypso |
E43368
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Nausithous |
E43368
|
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: Nausithous | Statement: [Calypso, child, Nausithous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nausithous Context triple: [Calypso, child, Nausithous]
-
A.
Nausithous
chosen
Nausithous is a lesser-known figure in Greek mythology, traditionally named as one of the sons of the nymph Calypso.
-
B.
Benthesikyme
Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
-
C.
Agrius
Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
-
D.
Dictys
Dictys is a fisherman and brother of King Polydectes in Greek mythology who discovers and shelters Perseus and his mother Danaë after they wash ashore.
-
E.
Melesias
Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8666b14819084374b84b65c6c74 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033e733c8190aa11e316e01dbd17 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.