Triple
T29039637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Short Loves Cole Porter |
E737959
|
entity |
| Predicate | composerOfSongsInterpreted |
P179806
|
FINISHED |
| Object | Cole Porter |
—
|
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: Cole Porter | Statement: [Bobby Short Loves Cole Porter, composerOfSongsInterpreted, Cole Porter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfSongsInterpreted Context triple: [Bobby Short Loves Cole Porter, composerOfSongsInterpreted, Cole Porter]
-
A.
composerOfSongsInWork
Indicates that one entity is the composer of the songs contained within a particular work (such as a film, play, or album).
-
B.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
C.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
D.
hasSongwriterProducerRelationshipWith
Indicates a relationship where one entity serves as the songwriter and/or producer for another entity’s musical work.
-
E.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 28, 2026, 10:01 a.m.