Triple
T6567072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels Cry |
E153933
|
entity |
| Predicate | describesEmotion |
P35317
|
FINISHED |
| Object | sadness |
—
|
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: sadness | Statement: [Angels Cry, describesEmotion, sadness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesEmotion Context triple: [Angels Cry, describesEmotion, sadness]
-
A.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
B.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
C.
feels
chosen
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
D.
primaryEmotion
Indicates the main or most dominant emotion that an entity is experiencing or expressing in a given context.
-
E.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.