Triple
T16440359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Pollution |
E399281
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | Sissyneck |
E399287
|
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: Sissyneck | Statement: [The New Pollution, followedBySingle, Sissyneck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sissyneck Context triple: [The New Pollution, followedBySingle, Sissyneck]
-
A.
Sissyneck
chosen
"Sissyneck" is a funky, genre-blending track by Beck from his acclaimed 1996 album *Odelay*, known for its eclectic mix of rock, hip-hop, and country influences.
-
B.
Sissy
Sissy is a fictional character from the horror film "The Grave," known for her involvement in the movie’s dark, suspenseful storyline.
-
C.
Sissy
Sissy is the spirited, independent love interest of Bud Davis in the 1980 romantic Western film "Urban Cowboy."
-
D.
Swankie
Swankie is a real-life modern nomad who appears as herself in the film "Nomadland," representing the van-dwelling community.
-
E.
Stickwitu
"Stickwitu" is a mid-2000s R&B-pop ballad by The Pussycat Dolls known for its romantic lyrics and smooth, melodic style.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba7fb0c8190a6a872705cd38987 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458dde8881909778c9964ddc8efa |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.