Triple
T10497077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegesias of Cyrene |
E247564
|
entity |
| Predicate | positionOnEmotions |
P13275
|
FINISHED |
| Object | the wise person is emotionally detached |
—
|
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: the wise person is emotionally detached | Statement: [Hegesias of Cyrene, positionOnEmotions, the wise person is emotionally detached]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnEmotions Context triple: [Hegesias of Cyrene, positionOnEmotions, the wise person is emotionally detached]
-
A.
viewOnEmotion
chosen
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
B.
emotionalTrait
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
-
C.
emotionState
Indicates the emotional condition or feeling that an entity is currently experiencing.
-
D.
emotionalDynamic
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
E.
positionOnReason
Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.