Triple
T14728408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danja |
E346003
|
entity |
| Predicate | notableSongProduced |
P8087
|
FINISHED |
| Object | Say It Right |
E426428
|
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: Say It Right | Statement: [Danja, notableSongProduced, Say It Right]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say It Right Context triple: [Danja, notableSongProduced, Say It Right]
-
A.
Say It Right
chosen
"Say It Right" is a 2006 electro-pop and R&B-influenced hit single by Nelly Furtado, known for its atmospheric production and widespread international chart success.
-
B.
Say It
"Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
-
C.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It With Music
"Say It With Music" is a popular song by American composer Irving Berlin, known for its sentimental lyrics about expressing emotions through melody.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09b1ff08190a8f88fa34d1656fb |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.