Triple
T31314725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe (Taylor’s Version) |
E798559
|
entity |
| Predicate | featuresDuetPartner |
P202325
|
FINISHED |
| Object | Colbie Caillat |
—
|
NE NERFINISHED |
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: Colbie Caillat | Statement: [Breathe (Taylor’s Version), featuresDuetPartner, Colbie Caillat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDuetPartner Context triple: [Breathe (Taylor’s Version), featuresDuetPartner, Colbie Caillat]
-
A.
duetPartnerOnWeCouldBeInLove
Indicates that two entities are duet partners specifically on the song "We Could Be In Love".
-
B.
partnerInMusicDuoWith
Indicates that two entities are members of the same musical duo, performing together as a two-person act.
-
C.
featuresDoubleAct
Indicates that an entity includes or presents a performance, show, or act involving two main performers acting together as a pair.
-
D.
featuresProductionDuo
Indicates that an entity includes or prominently involves a specific production duo in its creation or presentation.
-
E.
featuresCompanion
Indicates that one entity includes, presents, or is accompanied by another entity in a supporting or secondary role.
- F. None of above. chosen
Provenance (4 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a007240adac819087ab65e9733c384f |
completed | May 10, 2026, 11:55 a.m. |
Created at: April 29, 2026, 9:15 p.m.