Triple
T17938520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhurya-rasa |
E448528
|
entity |
| Predicate | emotionalFlavor |
P87208
|
FINISHED |
| Object | erotic but spiritually sublimated love |
—
|
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: erotic but spiritually sublimated love | Statement: [Madhurya-rasa, emotionalFlavor, erotic but spiritually sublimated love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalFlavor Context triple: [Madhurya-rasa, emotionalFlavor, erotic but spiritually sublimated love]
-
A.
emotionalTrait
chosen
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
-
B.
emotionalDynamic
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
C.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
D.
emotionalCoreOf
Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
-
E.
emotionChip
Indicates that an entity possesses or is equipped with an emotion chip that enables emotional processing or simulation.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.