Triple
T22536454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Rob |
E557166
|
entity |
| Predicate | hasNotableSong |
P20452
|
FINISHED |
| Object | Neighborhood Music |
—
|
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: Neighborhood Music | Statement: [Lil Rob, hasNotableSong, Neighborhood Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neighborhood Music Context triple: [Lil Rob, hasNotableSong, Neighborhood Music]
-
A.
Neighborhood Music
chosen
"Neighborhood Music" is a popular album by Chicano rapper Lil Rob that showcases his laid-back West Coast style and neighborhood-centric storytelling.
-
B.
Blue and Green Music
Blue and Green Music is an abstract painting by Georgia O’Keeffe that visually interprets musical rhythms and harmonies through bold, flowing shapes and a limited blue-green color palette.
-
C.
Loft Music
"Loft Music" is a moody, atmospheric R&B track by The Weeknd, featured on his debut mixtape *House of Balloons*.
-
D.
Border Music
"Border Music" is a novel by American author Robert James Waller that blends romance and introspection against a backdrop of the American Midwest.
-
E.
Beach Music
Beach Music is a bestselling novel by Pat Conroy that explores family trauma, Southern identity, and the lingering effects of past tragedies across generations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
Created at: April 16, 2026, 8:51 p.m.