Triple
T17678801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Señorita |
E440712
|
entity |
| Predicate | featuresCallAndResponseSection |
P69676
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Señorita, featuresCallAndResponseSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCallAndResponseSection Context triple: [Señorita, featuresCallAndResponseSection, true]
-
A.
featuresCallAndResponse
chosen
Indicates that one entity includes or exhibits a call-and-response interaction or structure involving another entity.
-
B.
featuresACapellaSections
Indicates that the subject contains one or more sections performed a cappella, without instrumental accompaniment.
-
C.
section1Feature
Indicates that something is a feature, characteristic, or component specifically associated with section 1.
-
D.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
E.
dialogueSection
Indicates a specific segment or portion within a larger dialogue or conversational exchange.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.