Triple
T13932984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Arms |
E335037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Winter Warz |
E330300
|
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: Winter Warz | Statement: [Golden Arms, notableWork, Winter Warz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winter Warz Context triple: [Golden Arms, notableWork, Winter Warz]
-
A.
Winter Warz
chosen
"Winter Warz" is a gritty, lyrically dense hip-hop track by Wu-Tang Clan affiliate Cappadonna, celebrated for its raw delivery and standout verse on the "Don't Be a Menace to South Central While Drinking Your Juice in the Hood" soundtrack.
-
B.
Winternag
Winternag is a renowned Afrikaans poem by Eugène Marais, celebrated for its evocative depiction of winter and its pioneering role in early Afrikaans literature.
-
C.
Winterslag
Winterslag is a district of the Belgian city of Genk, historically known as a coal mining community.
-
D.
Bliznaka
Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
-
E.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.