Triple
T22881932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivo Sonhando |
E567497
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | Dreamer |
—
|
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: Dreamer | Statement: [Vivo Sonhando, hasEnglishTitle, Dreamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreamer Context triple: [Vivo Sonhando, hasEnglishTitle, Dreamer]
-
A.
Dreamer
Dreamer is a soul and blues album by American singer Bobby "Blue" Bland, showcasing his smooth vocal style and emotive, sophisticated arrangements.
-
B.
Dreamer
"Dreamer" is a song featured on the soundtrack album for Disney's animated film "Encanto."
-
C.
Dreamer
chosen
"Dreamer" is a popular 1974 progressive rock song by the British band Supertramp, known for its catchy melody, prominent keyboard arrangement, and introspective lyrics.
-
D.
Dreamer
"Dreamer" is a historical novel by Charles Johnson that imagines an alternate version of Martin Luther King Jr.’s life through the story of his mysterious doppelgänger.
-
E.
Dreamer
Dreamer is a 2005 family drama film about a young girl who helps rehabilitate an injured racehorse, starring Dakota Fanning and Kurt Russell.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5cd98c8190b3c31ffd4c066331 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.