Triple
T13072630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasure |
E329491
|
entity |
| Predicate | labelMarketingDescription |
P21560
|
FINISHED |
| Object | funk- and disco-influenced pop song |
—
|
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: funk- and disco-influenced pop song | Statement: [Treasure, labelMarketingDescription, funk- and disco-influenced pop song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelMarketingDescription Context triple: [Treasure, labelMarketingDescription, funk- and disco-influenced pop song]
-
A.
labelMarketingPositioning
Indicates that an entity defines or assigns the marketing positioning (how something is presented or positioned in the market) for another entity.
-
B.
labelMarketingConcept
Indicates that something is designated or identified as a specific marketing concept.
-
C.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
D.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
E.
labelDepicts
Indicates that one entity serves as a label or caption that visually or textually represents, illustrates, or describes 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9 p.m.