Triple
T18975667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Cowboy |
E464286
|
entity |
| Predicate | hasEmotionalStyle |
P87208
|
FINISHED |
| Object | emotionally reserved |
—
|
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 reserved | Statement: [the Cowboy, hasEmotionalStyle, emotionally reserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmotionalStyle Context triple: [the Cowboy, hasEmotionalStyle, emotionally reserved]
-
A.
hasTypeOfEmotion
Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
-
B.
emotionalTrait
chosen
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
-
C.
emotionalDynamic
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
D.
hasEmotiveVocals
Indicates that the subject produces vocals characterized by strong or expressive emotion.
-
E.
emotionalCoreOf
Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon