Triple
T20162120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Only Girl |
E491733
|
entity |
| Predicate | hasLyricistNationality |
P127656
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [The Only Girl, hasLyricistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLyricistNationality Context triple: [The Only Girl, hasLyricistNationality, American]
-
A.
countryOfLyricist
chosen
Indicates the country with which a lyricist is associated, typically by nationality, origin, or primary residence.
-
B.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
C.
librettistNationality
Indicates the relationship between a librettist and the country or nationality with which they are associated.
-
D.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
E.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
- 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.