Triple
T23328050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DontGetIt |
E591352
|
entity |
| Predicate | hasOutro |
P13854
|
FINISHED |
| Object | spoken-word monologue |
—
|
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: spoken-word monologue | Statement: [DontGetIt, hasOutro, spoken-word monologue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutro Context triple: [DontGetIt, hasOutro, spoken-word monologue]
-
A.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
B.
hasContinuo
Indicates that a musical work, section, or passage includes a basso continuo part or accompaniment.
-
C.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
D.
hasSept
Indicates that one entity possesses, contains, or is associated with a sept (a subdivision or clan group) in relation to another entity.
-
E.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:13 p.m.