Triple
T19253863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole King |
E481463
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | 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: Music | Statement: [Carole King, album, Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Music Context triple: [Carole King, album, Music]
-
A.
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.
-
B.
Music
chosen
Music is an art form that organizes sounds in time through elements such as melody, harmony, rhythm, and timbre to create expressive and often culturally significant experiences.
-
C.
Musique
"Musique" is a popular French pop song by singer France Gall, emblematic of her late-1970s disco-influenced style.
-
D.
Music (song)
"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.
-
E.
Music World
Music World is a record label and entertainment company best known for managing and releasing music by prominent R&B and pop artists.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3339648190a87d38ce42aff016 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.