Triple
T34094892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carousel (A Dance) |
E874398
|
entity |
| Predicate | lyricistOfSourceMusic |
P1360
|
FINISHED |
| Object | Oscar Hammerstein II |
—
|
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: Oscar Hammerstein II | Statement: [Carousel (A Dance), lyricistOfSourceMusic, Oscar Hammerstein II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricistOfSourceMusic Context triple: [Carousel (A Dance), lyricistOfSourceMusic, Oscar Hammerstein II]
-
A.
lyricistOfSourcePoem
Indicates that one entity is the writer of the original poem on which another work (such as a song or adaptation) is based.
-
B.
lyricist
chosen
Indicates that one entity is the writer of the words (lyrics) for a musical work associated with another entity.
-
C.
writerOfMusicAndLyrics
Indicates that a person is the creator of both the musical composition and the song lyrics for a work.
-
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.
songWrittenBy
Indicates that a particular song was created or composed by a specific person or group.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c5991108190a09fc0faf6cb49d2 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.