Triple
T24668490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phony Rappers |
E610752
|
entity |
| Predicate | featuresDialogueStyleSkits |
P139053
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Phony Rappers, featuresDialogueStyleSkits, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDialogueStyleSkits Context triple: [Phony Rappers, featuresDialogueStyleSkits, yes]
-
A.
dialogueFeature
chosen
Indicates that one entity exhibits or involves a particular characteristic, property, or element of a dialogue or conversational exchange with another entity.
-
B.
featuresMonologues
Indicates that something (such as a work, performance, or medium) contains or includes one or more monologues as a notable element.
-
C.
dialogueWriter
Indicates that an entity is responsible for writing or creating dialogue for another entity, work, or context.
-
D.
characterDuet
Indicates a relationship where two characters perform together as a duet in a shared scene, song, or action.
-
E.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 2:41 a.m.