Triple
T22432534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feels Good to Me |
E554532
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Beelzebub |
—
|
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: Beelzebub | Statement: [Feels Good to Me, hasPart, Beelzebub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beelzebub Context triple: [Feels Good to Me, hasPart, Beelzebub]
-
A.
Beelzebub
chosen
Beelzebub is a prominent demon figure in Christian and literary tradition, often depicted as a high-ranking fallen angel and close associate of Satan.
-
B.
Belphégor
Belphégor is a novel by French philosopher and writer Julien Benda, best known for its satirical and intellectual exploration of modern society and culture.
-
C.
Azazel
Azazel is a powerful yellow-eyed demon from the television series "Supernatural," known for orchestrating the events that shape Sam and Dean Winchester’s destinies.
-
D.
Azazel
Azazel is a demonic-looking mutant supervillain in Marvel Comics, known as the teleporting X-Man Nightcrawler’s biological father and a longtime enemy of the X-Men.
-
E.
Satana
Satana is a Marvel Comics supernatural antiheroine and sorceress, the half-demon daughter of Satan and sister of Daimon Hellstrom.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.