Triple
T15958106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars Fell on Alabama |
E386987
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Frank Perkins |
E660469
|
NE 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: Frank Perkins | Statement: [Stars Fell on Alabama, composer, Frank Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Perkins Context triple: [Stars Fell on Alabama, composer, Frank Perkins]
-
A.
Frank Perkins
chosen
Frank Perkins was an American composer and songwriter known for his popular light orchestral works and film scores in the mid-20th century.
-
B.
Frank Nissen
Frank Nissen is an American animator and film director known for his work on Disney animated features and direct-to-video sequels.
-
C.
Walt Dohrn
Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
-
D.
Harold Flender
Harold Flender was an American writer and screenwriter known for his work in film and television, including contributions to socially conscious projects in the mid-20th century.
-
E.
Frank Seiberling
Frank Seiberling was an American industrialist best known for founding the Goodyear Tire & Rubber Company, which became one of the world’s leading tire manufacturers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fd7ce08190b5db4b486ccb6e40 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7e76d481909e6f1d1ea33edd60 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.