Triple
T7408404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Sides |
E170937
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Fell on Black Days |
E29503
|
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: Fell on Black Days | Statement: [A-Sides, includesSong, Fell on Black Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fell on Black Days Context triple: [A-Sides, includesSong, Fell on Black Days]
-
A.
Fell on Black Days
chosen
"Fell on Black Days" is a dark, introspective grunge song by Soundgarden, written and sung by Chris Cornell and released on their acclaimed 1994 album *Superunknown*.
-
B.
Blackout
"Blackout" is a critically acclaimed 2007 pop and dance album by Britney Spears, often praised for its innovative production and influence on modern pop music.
-
C.
Blackout
Blackout is a 2001 studio album by American rapper DMX that showcases his aggressive delivery and gritty, street-centered lyricism.
-
D.
Blackout
Blackout is a science fiction novel by Connie Willis that follows time-traveling historians from the future who become stranded in World War II–era England.
-
E.
Blackout
"Blackout" is a 1982 hard rock and heavy metal album by German band Scorpions, widely regarded as one of their most successful and influential releases.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81edbbe6481908904d1a1f7cfb20a |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:10 p.m.