Triple
T18067828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Goodrum |
E432335
|
entity |
| Predicate | hasWrittenSongsFor |
P44022
|
FINISHED |
| Object | Lee Greenwood |
—
|
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: Lee Greenwood | Statement: [Randy Goodrum, hasWrittenSongsFor, Lee Greenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Greenwood Context triple: [Randy Goodrum, hasWrittenSongsFor, Lee Greenwood]
-
A.
Lee Greenwood
chosen
Lee Greenwood is an American country music singer best known for his patriotic hit "God Bless the U.S.A."
-
B.
Toby Keith
Toby Keith was an American country music singer, songwriter, and record producer known for hits like "Courtesy of the Red, White and Blue" and "Should've Been a Cowboy."
-
C.
Aaron Tippin
Aaron Tippin is an American country music singer-songwriter known for his patriotic themes and blue-collar anthems, particularly popular in the 1990s and early 2000s.
-
D.
Mark Womack
Mark Womack is a British actor known for his work in television dramas such as "Liverpool 1" and "Murphy's Law."
-
E.
Christopher Lane
Christopher Lane is a scholar and author known for his critical examinations of psychiatry and the medicalization of everyday behavior.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.