Triple
T38392946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Other Josh Cohen |
E899774
|
entity |
| Predicate | hasMusicalNumberStyle |
P45796
|
FINISHED |
| Object | pop |
—
|
LITERAL 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: pop | Statement: [The Other Josh Cohen, hasMusicalNumberStyle, pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalNumberStyle Context triple: [The Other Josh Cohen, hasMusicalNumberStyle, pop]
-
A.
hasMusicalNumberIn
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
B.
hasMusicalNumberOrder
Indicates the sequential position of a musical number within a larger performance or work.
-
C.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
D.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
E.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:31 p.m.