Triple
T20146939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let It Rain |
E491325
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Broken |
—
|
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: Broken | Statement: [Let It Rain, hasPart, Broken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broken Context triple: [Let It Rain, hasPart, Broken]
-
A.
Broken
Broken is a 1992 industrial rock EP by Nine Inch Nails that marked a heavier, more aggressive turn in the band’s sound and became one of their most influential releases.
-
B.
Broken
"Broken" is a hauntingly melodic indie-folk song by Canadian singer-songwriter Patrick Watson, known for its ethereal vocals and cinematic, atmospheric arrangement.
-
C.
Broken
chosen
"Broken" is a song featured on the Norah Jones album "Not Too Late."
-
D.
Broken
"Broken" is a song by Canadian rock band The Guess Who, known for its emotive lyrics and classic rock sound.
-
E.
Broken
"Broken" is a British television drama series starring Sean Bean as a troubled Catholic priest grappling with faith, morality, and the struggles of his working-class parishioners.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.