Triple
T12059585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Woods Bliss |
E287132
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bliss |
E374742
|
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: Bliss | Statement: [Robert Woods Bliss, familyName, Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bliss Context triple: [Robert Woods Bliss, familyName, 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 song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
C.
Bliss
chosen
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.
-
D.
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.
-
E.
Bliss
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.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49df216bc8190933e08f495f4d22f |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.