Triple
T31197893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana Hayride |
E795373
|
entity |
| Predicate | hasSongBy |
P20452
|
FINISHED |
| Object | Arthur Schwartz |
—
|
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: Arthur Schwartz | Statement: [Louisiana Hayride, hasSongBy, Arthur Schwartz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongBy Context triple: [Louisiana Hayride, hasSongBy, Arthur Schwartz]
-
A.
hasSong
chosen
Indicates that one entity possesses, features, or includes a particular song.
-
B.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
C.
hasSongTitle
Indicates that an entity (such as a song or musical work) bears or is associated with a specific song title.
-
D.
isSongIn
Indicates that a particular song is contained within or belongs to a specified collection, such as an album, playlist, or soundtrack.
-
E.
hasNotableSongWithBand
Indicates that an artist or individual is associated with a band through a song that is considered notable or significant.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 9:09 p.m.