Triple
T11752786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Million Dollar Band |
E279447
|
entity |
| Predicate | supportsChantOrSong |
P15355
|
FINISHED |
| Object | Yea Alabama |
—
|
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: Yea Alabama | Statement: [Million Dollar Band, supportsChantOrSong, Yea Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsChantOrSong Context triple: [Million Dollar Band, supportsChantOrSong, Yea Alabama]
-
A.
hasChant
chosen
Indicates that an entity is associated with or characterized by a particular chant.
-
B.
relatedChantOrSong
Indicates that one chant or song is associated with, derived from, or otherwise connected to another chant or song.
-
C.
hasChoralArrangement
Indicates that one entity is a choral arrangement version or setting of another entity (typically an original musical work).
-
D.
hasCanticle
Indicates that an entity is associated with, contains, or is characterized by a specific canticle (a hymn or song of praise).
-
E.
hasChoir
Indicates that an entity possesses, maintains, or is associated with a choir.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.