Triple
T8886225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terpsion |
E211537
|
entity |
| Predicate | dialogueRoleInTheaetetus |
P9564
|
FINISHED |
| Object | interlocutor with Euclides |
—
|
LITERAL 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: interlocutor with Euclides | Statement: [Terpsion, dialogueRoleInTheaetetus, interlocutor with Euclides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueRoleInTheaetetus Context triple: [Terpsion, dialogueRoleInTheaetetus, interlocutor with Euclides]
-
A.
roleInDialogue
chosen
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
-
B.
relationshipToSocrates
Indicates the specific familial, social, or conceptual connection that one entity has to Socrates.
-
C.
chargeInTrialOfSocrates
Indicates that an entity is a specific legal accusation formally brought against Socrates in his trial.
-
D.
dialoguePosition
Indicates the relative placement or ordering of an utterance or turn within a dialogue or conversational sequence.
-
E.
epistemicRole
Indicates the role an entity plays in a knowledge-related context, such as being a knower, source, or bearer of information or belief.
- F. None of above.
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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.