Triple
T13893460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music (album) |
E334028
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object | Music (song) |
E1069152
|
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: Music (song) | Statement: [Music (album), leadSingle, Music (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Music (song) Context triple: [Music (album), leadSingle, Music (song)]
-
A.
Music (song)
chosen
"Music" is a song by Madonna that serves as the title track and lead single from her 2000 album of the same name, blending dance-pop and electronic influences.
-
B.
Song
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
C.
Music
Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
-
D.
Musique
"Musique" is a popular French pop song by singer France Gall, emblematic of her late-1970s disco-influenced style.
-
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 (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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c0b6848190b67051e0ccbdb707 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.