Triple
T20162129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Only Girl |
E491733
|
entity |
| Predicate | hasOriginalLyrics |
P18290
|
FINISHED |
| Object | Henry Blossom lyrics |
—
|
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: Henry Blossom lyrics | Statement: [The Only Girl, hasOriginalLyrics, Henry Blossom lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalLyrics Context triple: [The Only Girl, hasOriginalLyrics, Henry Blossom lyrics]
-
A.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
B.
hasOriginalMusicBy
Indicates that the original musical score or soundtrack for a work was created or composed by a specified entity.
-
C.
hasOriginalFrenchLyricists
Indicates that an entity (such as a work or song) is associated with the people who wrote its original lyrics in French.
-
D.
includesOriginalSongsBy
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
-
E.
hasLyric
chosen
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.