Triple
T2391976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Ardor |
E48962
|
entity |
| Predicate | emotionalClimax |
P35317
|
FINISHED |
| Object | smiles while watching the burning temple at the end of the film |
—
|
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: smiles while watching the burning temple at the end of the film | Statement: [Dani Ardor, emotionalClimax, smiles while watching the burning temple at the end of the film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalClimax Context triple: [Dani Ardor, emotionalClimax, smiles while watching the burning temple at the end of the film]
-
A.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
B.
vocalClimaxWord
Indicates that a word occurs at the climactic or most emphasized point in a vocal performance or utterance.
-
C.
feels
chosen
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
D.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
-
E.
eraOfIncreasedIntensity
Indicates a period during which the level or strength of a particular activity, condition, or phenomenon becomes significantly higher than before.
- 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.