Triple
T8886241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terpsion |
E211537
|
entity |
| Predicate | primaryActivityInTexts |
P76976
|
FINISHED |
| Object | engaging in philosophical conversation |
—
|
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: engaging in philosophical conversation | Statement: [Terpsion, primaryActivityInTexts, engaging in philosophical conversation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryActivityInTexts Context triple: [Terpsion, primaryActivityInTexts, engaging in philosophical conversation]
-
A.
primaryTextualFocus
Indicates that one entity is the main subject or central topic emphasized within the text of another entity.
-
B.
primaryTextUsed
Indicates that a particular text is the main or principal textual content used in relation to another entity or resource.
-
C.
primaryEngagement
chosen
Indicates the main or most significant interaction, involvement, or relationship that an entity has with another entity or activity.
-
D.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
- 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.