Triple
T29039665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Short Celebrates Rodgers and Hart |
E737960
|
entity |
| Predicate | featuresSongsByLyricist |
P1141
|
FINISHED |
| Object | Lorenz Hart |
—
|
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: Lorenz Hart | Statement: [Bobby Short Celebrates Rodgers and Hart, featuresSongsByLyricist, Lorenz Hart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSongsByLyricist Context triple: [Bobby Short Celebrates Rodgers and Hart, featuresSongsByLyricist, Lorenz Hart]
-
A.
lyricsBy
chosen
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
B.
composerOfSongsInterpreted
Indicates that one entity is the composer of songs that are performed or interpreted by another entity.
-
C.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
D.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
-
E.
writerOfMusicAndLyrics
Indicates that a person is the creator of both the musical composition and the song lyrics for a work.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: April 28, 2026, 10:01 a.m.