Triple
T22129854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reload |
E546878
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Slither |
—
|
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: Slither | Statement: [Reload, hasTrack, Slither]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slither Context triple: [Reload, hasTrack, Slither]
-
A.
Slither
Slither is a 2006 horror-comedy film that blends grotesque alien invasion elements with dark humor and cult-movie sensibilities.
-
B.
Slither
chosen
"Slither" is a hard rock song by the supergroup Velvet Revolver, known for its heavy riffs and as one of the band's most popular tracks.
-
C.
Slither
Slither is a 1973 American crime-comedy film known for its offbeat humor and ensemble cast, including Louise Lasser and James Caan.
-
D.
Slideling
Slideling is a solo studio album by Echo & the Bunnymen frontman Ian McCulloch, showcasing his melodic alternative rock songwriting outside the band.
-
E.
Schlangen
Schlangen is a small municipality in the Lippe district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the Teutoburg Forest.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129851db8819082d50bbb73670bf6 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.