Triple
T14007040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Arms Redemption |
E336975
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Enter U-God |
E66904
|
NE 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: Enter U-God | Statement: [Golden Arms Redemption, hasTrack, Enter U-God]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enter U-God Context triple: [Golden Arms Redemption, hasTrack, Enter U-God]
-
A.
U-God
chosen
U-God is an American rapper best known as a core member of the influential hip hop collective Wu-Tang Clan.
-
B.
Yung Gud
Yung Gud is a Swedish producer and DJ best known for his atmospheric, melancholic beats and frequent collaborations with rapper Yung Lean as part of the Sad Boys collective.
-
C.
GZA
GZA is an American rapper, lyricist, and founding member of the influential hip hop group Wu-Tang Clan, renowned for his complex wordplay and concept-driven albums like "Liquid Swords."
-
D.
MF DOOM
MF DOOM was a British-American underground hip-hop artist renowned for his intricate wordplay, masked supervillain persona, and influential alternative rap albums.
-
E.
Wordy Rappinghood
"Wordy Rappinghood" is a playful, genre-blending 1981 song by Tom Tom Club that mixes spoken-word rap, catchy pop rhythms, and witty lyrics about language and communication.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca5fb48819090fff1fd22e8a15c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.