Triple
T8885451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Friend, the Dictionary |
E211517
|
entity |
| Predicate | musicalType |
P30697
|
FINISHED |
| Object | Broadway musical song |
—
|
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: Broadway musical song | Statement: [My Friend, the Dictionary, musicalType, Broadway musical song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalType Context triple: [My Friend, the Dictionary, musicalType, Broadway musical song]
-
A.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
C.
songType
chosen
Indicates the specific category or genre that a given song belongs to.
-
D.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
E.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.