Triple
T14666887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Go |
E344399
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Seventeen Days |
E343273
|
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: Seventeen Days | Statement: [Let Me Go, partOfAlbum, Seventeen Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seventeen Days Context triple: [Let Me Go, partOfAlbum, Seventeen Days]
-
A.
Seventeen Days
chosen
Seventeen Days is the third studio album by American rock band 3 Doors Down, known for its post-grunge sound and radio-friendly rock tracks.
-
B.
117 Days
117 Days is a memoir by South African anti-apartheid activist Ruth First recounting her arrest and solitary confinement under the apartheid regime.
-
C.
A Thousand Days Before
"A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
-
D.
Seven Days
"Seven Days" is an American science fiction television series centered on a secret government program that uses time travel to prevent disasters.
-
E.
Seven Days
Seven Days is a musical project or band known for its association with guitarist Guitar Bains.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde177ced48190a448cbee1f4c75bf |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.