Triple
T22891870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hater |
E568061
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object | Hater |
—
|
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: Hater | Statement: [Hater, debutAlbum, Hater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hater Context triple: [Hater, debutAlbum, Hater]
-
A.
Hater
chosen
Hater is an American alternative rock band best known as a side project of Soundgarden drummer Matt Cameron in the early 1990s.
-
B.
The Haters
The Haters is a young adult novel by Jesse Andrews that follows two friends on a chaotic, music-fueled road trip as they form an impromptu band and navigate adolescence.
-
C.
Love Hater
Love Hater is a jazzy, lounge-influenced track by André 3000 from OutKast’s album *The Love Below*, blending crooned vocals with playful, romantic lyrics.
-
D.
Haterz Everywhere
"Haterz Everywhere" is an early breakout single by rapper B.o.B that helped establish his presence in the hip hop scene.
-
E.
"Hi Hater"
"Hi Hater" is a 2008 hip hop single by Brooklyn rapper Maino that gained attention for its confrontational, self-assertive theme.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.