Triple
T13737410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What the Blood Clot |
E329984
|
entity |
| Predicate | featuresWuTangStyleProduction |
P25796
|
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: [What the Blood Clot, featuresWuTangStyleProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWuTangStyleProduction Context triple: [What the Blood Clot, featuresWuTangStyleProduction, true]
-
A.
featuresRappingStyle
Indicates that one entity (such as a song, performance, or artist’s work) includes or showcases a particular rapping style.
-
B.
featuresProducerRapper
Indicates that a producer collaborates on a track or project that features a rapper.
-
C.
featuresRapperOrMC
Indicates that something (such as a track, album, or performance) includes a rapper or MC as a featured participant.
-
D.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
E.
featuresStyle
chosen
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.