Triple
T8241019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionysodorus |
E192533
|
entity |
| Predicate | dialoguePartnerOf |
P12142
|
FINISHED |
| Object | Clinias |
E192534
|
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: Clinias | Statement: [Dionysodorus, dialoguePartnerOf, Clinias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinias Context triple: [Dionysodorus, dialoguePartnerOf, Clinias]
-
A.
Cleinias
chosen
Cleinias is a young Athenian nobleman who serves as the central interlocutor and philosophical pupil of Socrates in Plato’s dialogue *Euthydemus*.
-
B.
Cléonte
Cléonte is a central suitor figure in Molière’s comedy *Le Bourgeois gentilhomme*, representing the values of genuine love and bourgeois common sense in contrast to social pretension.
-
C.
Callirrhoe
Callirrhoe is a figure in Greek mythology, often depicted as an Oceanid or nymph associated with rivers and springs.
-
D.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
E.
Carnide
Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd351871ac81909f8e4a72a6b99ac3 |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.