Triple
T13735694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digi Snacks |
E329938
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Creep |
E225641
|
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: Creep | Statement: [Digi Snacks, hasTrack, Creep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creep Context triple: [Digi Snacks, hasTrack, Creep]
-
A.
Creep
chosen
"Creep" is a 1992 alternative rock song by Radiohead that became their breakout hit, known for its melancholic lyrics and dynamic quiet-loud structure.
-
B.
Creep
"Creep" is a hit R&B song co-written and produced by Manuel Seal, best known for being recorded and popularized by TLC in the mid-1990s.
-
C.
Creep
"Creep" is a grunge-influenced rock ballad by Stone Temple Pilots, known as one of the band’s early 1990s hits exploring themes of alienation and self-doubt.
-
D.
Creeper
Creeper is an iconic hostile mob from the game Minecraft known for silently approaching players and exploding.
-
E.
Creepers
Creepers is a 2005 thriller novel by David Morrell that follows a group of urban explorers whose night inside an abandoned hotel turns into a deadly struggle for survival.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d68da04819089c95d9bfedc7496 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.