Triple
T8143483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cephalus |
E190151
|
entity |
| Predicate | dialogueContext |
P80922
|
FINISHED |
| Object | discussion of justice in Plato’s Republic |
—
|
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: discussion of justice in Plato’s Republic | Statement: [Cephalus, dialogueContext, discussion of justice in Plato’s Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueContext Context triple: [Cephalus, dialogueContext, discussion of justice in Plato’s Republic]
-
A.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
B.
dialoguePosition
Indicates the relative placement or ordering of an utterance or turn within a dialogue or conversational sequence.
-
C.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
D.
dialogueForm
Indicates that one entity takes the form or structure of a dialogue, typically involving conversational or interactive exchange between parties.
-
E.
dialogueLine
Indicates that one entity is a specific spoken or written line of dialogue expressed by another entity (such as a character or speaker).
- F. None of above. chosen
Provenance (4 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.