Triple
T15409199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slip-n-Slide Records |
E368537
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Plies |
E330188
|
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: Plies | Statement: [Slip-n-Slide Records, hasArtist, Plies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plies Context triple: [Slip-n-Slide Records, hasArtist, Plies]
-
A.
Plies
chosen
Plies is an American rapper known for his Southern hip hop style and hits like "Shawty" and "Bust It Baby (Part 2)."
-
B.
Plaidt
Plaidt is a small municipality in the Rhineland-Palatinate region of western Germany, situated near the Rhine and known for its volcanic landscape surroundings.
-
C.
Plastiq Musiq
Plastiq Musiq is an independent record label known for releasing electronic and synth-pop music, often associated with the Christian alternative and underground music scenes.
-
D.
In Pieces
In Pieces is the memoir of acclaimed American actress and director Sally Field, chronicling her life, career, and personal struggles.
-
E.
Rockpile
Rockpile is a renowned American Viticultural Area in Sonoma County, California, known for its high-elevation vineyards and intensely flavored Zinfandel wines.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219de0f88190a914bfee5dde32c9 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.