Triple
T20148719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'll Be in the Sky" |
E491376
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | "Haterz Everywhere" |
—
|
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: "Haterz Everywhere" | Statement: ["I'll Be in the Sky", follows, "Haterz Everywhere"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Haterz Everywhere" Context triple: ["I'll Be in the Sky", follows, "Haterz Everywhere"]
-
A.
Haterz Everywhere
chosen
"Haterz Everywhere" is an early breakout single by rapper B.o.B that helped establish his presence in the hip hop scene.
-
B.
"Hi Hater"
"Hi Hater" is a 2008 hip hop single by Brooklyn rapper Maino that gained attention for its confrontational, self-assertive theme.
-
C.
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.
-
D.
Hater Love
"Hater Love" is a song by the American R&B singer Float.
-
E.
Haters Anonymous
Haters Anonymous is a fictional support group featured in the teen comedy film "As If!" where characters confront their negative attitudes and social conflicts.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.