Triple
T12224428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Different for Girls (with Dierks Bentley) |
E291310
|
entity |
| Predicate | featuresDuetVocals |
P9649
|
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: [Different for Girls (with Dierks Bentley), featuresDuetVocals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDuetVocals Context triple: [Different for Girls (with Dierks Bentley), featuresDuetVocals, true]
-
A.
featuresVocalEnsemble
Indicates that something includes or presents a group of vocal performers singing together.
-
B.
hasVocalDuet
chosen
Indicates that two entities perform or participate together in a vocal duet.
-
C.
featuresVocalist
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
hasCallAndResponseVocals
Indicates that one entity produces vocalizations that are followed by corresponding or answering vocalizations from another entity.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.