Triple
T24848509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost in the Stars |
E621820
|
entity |
| Predicate | lyricistNationality |
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: [Lost in the Stars, lyricistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricistNationality Context triple: [Lost in the Stars, lyricistNationality, American]
-
A.
lyricist
Indicates that one entity is the writer of the words (lyrics) for a musical work associated with another entity.
-
B.
librettistNationality
Indicates the relationship between a librettist and the country or nationality with which they are associated.
-
C.
countryOfLyricist
chosen
Indicates the country with which a lyricist is associated, typically by nationality, origin, or primary residence.
-
D.
writerOfMusicAndLyrics
Indicates that a person is the creator of both the musical composition and the song lyrics for a work.
-
E.
notableLyricist
Indicates that the subject is a lyricist who is particularly distinguished or well-known for their 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:20 a.m.