Triple
T5082959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1,000 Hours |
E114565
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | 1,000 Hours (song) |
E114565
|
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: 1,000 Hours (song) | Statement: [1,000 Hours, hasTrack, 1,000 Hours (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1,000 Hours (song) Context triple: [1,000 Hours, hasTrack, 1,000 Hours (song)]
-
A.
1,000 Hours
chosen
1,000 Hours is Green Day’s debut EP, showcasing their early punk rock sound and released on the independent label Lookout! Records.
-
B.
24 Hours
"24 Hours" is a synth-pop song by American singer Sky Ferreira, known for its atmospheric production and emotionally charged lyrics.
-
C.
Eleven Minutes
Eleven Minutes is a novel by Brazilian author Paulo Coelho that explores themes of love, sexuality, and self-discovery through the story of a young Brazilian woman who becomes a sex worker in Switzerland.
-
D.
1000 Days
1000 Days is an experimental rock album by the American band Wand, noted for its psychedelic textures and lo-fi, fuzzed-out sound.
-
E.
A Minute
A Minute is a short film set in the infamous Action Park amusement park, capturing its chaotic and dangerous atmosphere in a brief, intense runtime.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfbfe2bc81909758cad44baf809e |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:39 p.m.