Triple
T2391949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Ardor |
E48962
|
entity |
| Predicate | psychologicalState |
P23956
|
FINISHED |
| Object | emotionally traumatized |
—
|
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: emotionally traumatized | Statement: [Dani Ardor, psychologicalState, emotionally traumatized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: psychologicalState Context triple: [Dani Ardor, psychologicalState, emotionally traumatized]
-
A.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
C.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
D.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
E.
inState
chosen
Indicates that an entity is currently located within or belongs to a particular state or condition.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.