Triple
T15546098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindy Robbins |
E370612
|
entity |
| Predicate | hasWrittenSongsFor |
P44022
|
FINISHED |
| Object | Thomas Rhett |
E800513
|
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: Thomas Rhett | Statement: [Lindy Robbins, hasWrittenSongsFor, Thomas Rhett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Rhett Context triple: [Lindy Robbins, hasWrittenSongsFor, Thomas Rhett]
-
A.
Thomas Rhett
chosen
Thomas Rhett is an American country music singer-songwriter known for hits like "Die a Happy Man" and "Marry Me."
-
B.
Sam W. Hunt
Sam W. Hunt is an American politician who served as a member of the Washington State Legislature.
-
C.
Brett Eldredge
Brett Eldredge is an American country music singer and songwriter known for his smooth baritone voice and popular hits as well as his modern Christmas recordings.
-
D.
Lee Brice
Lee Brice is an American country music singer-songwriter known for hits like "Love Like Crazy" and "I Don't Dance."
-
E.
Luke Bryan
Luke Bryan is an American country music singer and songwriter known for his chart-topping hits and energetic live performances.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455a38188190a593c70be09d6103 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:07 a.m.