Triple
T22607728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War (album) |
E566605
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Drowning Man |
—
|
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 Man | Statement: [War (album), hasPart, Drowning Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drowning Man Context triple: [War (album), hasPart, Drowning Man]
-
A.
Drowning Man
chosen
"Drowning Man" is a song by the Irish rock band U2 from their 1983 album War, known for its atmospheric sound and spiritually themed lyrics.
-
B.
Drowned
"Drowned" is a song by The Who, featured on their 1973 rock opera album *Quadrophenia*.
-
C.
Found Drowned
Found Drowned is a somber 19th-century painting by George Frederic Watts depicting the tragic aftermath of a woman's suicide, reflecting Victorian social concerns and moral themes.
-
D.
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.
-
E.
Drown
"Drown" is a song by the band Trail of Stars, likely featuring their characteristic atmospheric, melodic indie rock sound.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e75658819089153eab7563540c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:55 p.m.