Triple
T20784648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Words and Music |
E511596
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Words and Music |
—
|
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: Words and Music | Statement: [Words and Music, title, Words and Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Words and Music Context triple: [Words and Music, title, Words and Music]
-
A.
Words and Music
chosen
Words and Music is a 1948 American musical film that dramatizes the partnership and songs of famed Broadway songwriting duo Richard Rodgers and Lorenz Hart.
-
B.
Words and Music
Words and Music is a track from the Bee Gees’ 1977 debut solo album by Barry Gibb, "Flowing Rivers."
-
C.
Words and Music
Words and Music is a studio album by Australian singer-songwriter Paul Kelly that showcases his storytelling-driven rock and folk songwriting.
-
D.
Words and Music
"Words and Music" is a short radio play by Samuel Beckett that explores the relationship between language and musical expression through two personified characters.
-
E.
Music and Lyrics
Music and Lyrics is a 2007 romantic comedy film about a washed-up pop singer who teams up with an aspiring writer to compose a hit song, starring Hugh Grant and Drew Barrymore.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.