Triple
T28426684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Bernstein |
E720098
|
entity |
| Predicate | associatedWorkMusicBy |
P89775
|
FINISHED |
| Object | John Kander |
—
|
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: John Kander | Statement: [Carmen Bernstein, associatedWorkMusicBy, John Kander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWorkMusicBy Context triple: [Carmen Bernstein, associatedWorkMusicBy, John Kander]
-
A.
associatedMusic
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
B.
musicByInWorkAppearedIn
Indicates that a piece of music was created by a particular agent and appears within a specific larger work (e.g., film, show, or production).
-
C.
relatedWorkByArtist
Indicates that one work is connected to another through having been created by the same artist.
-
D.
musicalWork
chosen
Indicates a relationship where an entity is identified as a musical composition or piece associated with another entity (such as a creator, performance, or recording).
-
E.
relatedSongCollection
Indicates that a song collection is associated with or connected to another song collection in a meaningful way (e.g., by theme, artist, or context).
- F. None of above.
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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a01416f8a8c8190abc12f68bd23dcc3 |
completed | May 11, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_6a013f3bc2e48190a51ec2707bbdd474 |
completed | May 11, 2026, 2:30 a.m. |
Created at: April 28, 2026, 1:37 a.m.