Triple
T13793781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drill Music in Zion |
E331461
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | MS. MURAL |
E1061395
|
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: MS. MURAL | Statement: [Drill Music in Zion, notableSong, MS. MURAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS. MURAL Context triple: [Drill Music in Zion, notableSong, MS. MURAL]
-
A.
MS. MURAL
chosen
"MS. MURAL" is a lyrically dense, concept-driven hip-hop track by Lupe Fiasco that continues his "Mural" series with intricate storytelling and social commentary.
-
B.
The City of Murals
The City of Murals is a nickname for Vernon, Texas, highlighting its numerous outdoor wall paintings and vibrant public art scene.
-
C.
Mural
Mural is a monumental 1943 abstract expressionist painting by Jackson Pollock, often regarded as a pivotal work in the development of modern American art.
-
D.
Mural
"Mural" is a long, lyrical poem by Palestinian poet Mahmoud Darwish that meditates on mortality, identity, and artistic legacy.
-
E.
Mural Jr.
Mural Jr. is a track by rapper Lupe Fiasco, serving as a sequel to his acclaimed song "Mural" and appearing on his concept album Drogas Wave.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.