Triple
T21445010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise |
E529047
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Bliss |
—
|
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: Bliss | Statement: [Paradise, associatedWith, Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bliss Context triple: [Paradise, associatedWith, Bliss]
-
A.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
-
B.
Bliss
Bliss is a surname most notably associated with Lucille Bliss, an American voice actress known for her work in classic animated films and television series.
-
C.
Bliss
Bliss is a darkly comic novel by Australian author Peter Carey that follows an advertising executive who, after a near-death experience, attempts to radically transform his life.
-
D.
Bliss
chosen
Bliss is a celebrated short story by modernist writer Katherine Mansfield that explores themes of female desire, social pretense, and emotional revelation during a single evening gathering.
-
E.
Bliss
Bliss is a member of the professional esports organization DV8, known for competing in high-level gaming tournaments.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b706fd588190bf397a58976f7d98 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.