Triple
T15958107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars Fell on Alabama |
E386987
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Mitchell Parish |
—
|
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: Mitchell Parish | Statement: [Stars Fell on Alabama, lyricist, Mitchell Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Parish Context triple: [Stars Fell on Alabama, lyricist, Mitchell Parish]
-
A.
Mitchell Parish
chosen
Mitchell Parish was an American lyricist best known for writing the words to popular standards such as "Stardust," "Sweet Lorraine," and "Stars Fell on Alabama."
-
B.
Jackson Parish
Jackson Parish is a rural parish in northern Louisiana known for its small communities, forestry, and agricultural activities.
-
C.
Tensas Parish
Tensas Parish is a rural parish in northeastern Louisiana known for its rich agricultural lands and location along the Mississippi River.
-
D.
St. Bernard Parish
St. Bernard Parish is a Catholic church and local faith community serving residents of West Newton.
-
E.
Smiths Parish
Smiths Parish is one of Bermuda’s nine parishes, located on the main island’s central-eastern side and known for its coastal scenery and residential communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fd7ce08190b5db4b486ccb6e40 |
completed | April 16, 2026, 9:39 p.m. |
Created at: April 10, 2026, 4:53 a.m.