Triple
T29065709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just You 'n' Me |
E735667
|
entity |
| Predicate | hornArrangementsBy |
P88204
|
FINISHED |
| Object | James Pankow |
—
|
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: James Pankow | Statement: [Just You 'n' Me, hornArrangementsBy, James Pankow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornArrangementsBy Context triple: [Just You 'n' Me, hornArrangementsBy, James Pankow]
-
A.
hornComposition
Indicates the material or substance that an entity’s horn is made of.
-
B.
orchestralArrangement
Indicates that one musical work is arranged or adapted specifically for performance by an orchestra.
-
C.
hasBrassArrangement
chosen
Indicates that something includes or is associated with a musical arrangement specifically written for brass instruments.
-
D.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
E.
hornPlayer
Indicates that an entity plays, performs on, or is characterized as a player of a horn instrument in relation to another entity 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6609a8bfc8190bbf7855ef75416c2 |
completed | May 2, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:18 a.m.