Triple
T14234821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am the Storm |
E352848
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | WaterTower Music |
E68955
|
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: WaterTower Music | Statement: [I Am the Storm, publisher, WaterTower Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WaterTower Music Context triple: [I Am the Storm, publisher, WaterTower Music]
-
A.
WaterTower Music
chosen
WaterTower Music is an American record label known for releasing soundtracks and scores for major film and television productions.
-
B.
Sarkcess Music
Sarkcess Music is an independent Ghanaian record label founded by acclaimed rapper Sarkodie to manage and promote his music and other artists.
-
C.
Gigantic Music
Gigantic Music is an independent record label known for releasing music by indie rock bands such as The Walkmen.
-
D.
GroundUP Music
GroundUP Music is an independent record label founded by members of the jazz-fusion collective Snarky Puppy, known for championing genre-blending, artist-driven music.
-
E.
Orwig Music Library
Orwig Music Library is Brown University’s specialized library dedicated to music collections, resources, and research support.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa0e98c81908f6b55a04cd72871 |
completed | May 8, 2026, 7:02 a.m. |
Created at: April 10, 2026, 1:07 a.m.