Triple
T20196595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1,000 Hours |
E493100
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | 1,000 Hours (song) |
—
|
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: 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.
10,000 Hours
"10,000 Hours" is a popular country-pop love song by Dan + Shay featuring Justin Bieber that became a major commercial hit and wedding favorite.
-
C.
Fourteen Hours
Fourteen Hours is a 1951 American film noir drama centered on a tense, day-long standoff with a man threatening to jump from a New York skyscraper ledge.
-
D.
61 Hours
"61 Hours" is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he becomes embroiled in a deadly conspiracy in a small, snowbound South Dakota town.
-
E.
24 Hours
24 Hours is a suspense thriller novel by Greg Iles about a meticulously planned child kidnapping that unravels over the course of a single day.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad99d50819090ddb7b546c65321 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.