Triple
T32540542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | paradox of inquiry |
E831702
|
entity |
| Predicate | discussedByCharacter |
P174910
|
FINISHED |
| Object | Socrates |
—
|
NE NERFINISHED |
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: Socrates | Statement: [paradox of inquiry, discussedByCharacter, Socrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussedByCharacter Context triple: [paradox of inquiry, discussedByCharacter, Socrates]
-
A.
discussesCharacter
Indicates that one entity talks or writes about, analyzes, or otherwise addresses a particular character.
-
B.
analyzedByCharacter
Indicates that something (such as an event, object, or situation) is examined, interpreted, or evaluated by a particular character.
-
C.
explainedByCharacter
Indicates that something (such as an event, situation, or piece of information) is explained or clarified by a particular character.
-
D.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
-
E.
hasMainCharacterDiscussed
Indicates that the main character has engaged in a discussion or conversation about a particular subject or with another entity.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:02 a.m.