Triple
T9611781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOPS-20 |
E232117
|
entity |
| Predicate | programmingLanguageSupport |
P1592
|
FINISHED |
| Object | BLISS |
E805866
|
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: [TOPS-20, programmingLanguageSupport, BLISS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLISS Context triple: [TOPS-20, programmingLanguageSupport, BLISS]
-
A.
BLISS
chosen
BLISS is a systems programming language developed at Carnegie Mellon University in the early 1970s, known for its use in low-level systems software and its lack of a built-in goto statement.
-
B.
Bliss
"Bliss" is a track from Mariah Carey's 1999 album "Rainbow," known for its sensual lyrics and layered vocal arrangements.
-
C.
Bliss
"Bliss" is a song featured on Taylor Swift’s album *Lover*, known for its upbeat pop sound and emotionally charged lyrics.
-
D.
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.
-
E.
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.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a87764481909ab96cd2ab96d14b |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179513f9081909bcd9a456c640ba3 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:09 p.m.