Triple
T32489973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black and Yellow |
E830357
|
entity |
| Predicate | hasParodyOrAnswerSong |
P198806
|
FINISHED |
| Object | Black and Yellow (sports team remixes) |
—
|
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: Black and Yellow (sports team remixes) | Statement: [Black and Yellow, hasParodyOrAnswerSong, Black and Yellow (sports team remixes)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParodyOrAnswerSong Context triple: [Black and Yellow, hasParodyOrAnswerSong, Black and Yellow (sports team remixes)]
-
A.
isAnswerSongTo
Indicates that one song was created as a direct response or reply to another specific song.
-
B.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
C.
isComedySongBy
Indicates that a song belongs to the comedy genre and is performed or created by a specified artist or group.
-
D.
originalSongwriterParodied
Indicates that one entity is the songwriter of an original song that is parodied by another entity.
-
E.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
| PDg | Predicate description generation | batch_69ff0b6a541c8190a6fa847552f3491f |
completed | May 9, 2026, 10:24 a.m. |
Created at: May 1, 2026, 12:59 a.m.