Triple
T20518835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cause I Sez So |
E503749
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Drowning |
—
|
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: Drowning | Statement: [Cause I Sez So, hasTrack, Drowning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drowning Context triple: [Cause I Sez So, hasTrack, Drowning]
-
A.
Drowning
chosen
"Drowning" is a popular hip-hop single by A Boogie wit da Hoodie featuring Kodak Black, known for its melodic flow and piano-driven beat.
-
B.
Drowned
"Drowned" is a song by The Who, featured on their 1973 rock opera album *Quadrophenia*.
-
C.
Drown
Drown is a critically acclaimed short story collection by Junot Díaz that explores the lives of Dominican and Dominican American characters grappling with migration, identity, and fractured relationships.
-
D.
Drown
"Drown" is a song by the band Trail of Stars, likely featuring their characteristic atmospheric, melodic indie rock sound.
-
E.
Death by Water
"Death by Water" is a brief, elegiac section of T. S. Eliot’s modernist poem *The Waste Land* that reflects on mortality and the destructive, purifying power of the sea.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.