Triple
T21406040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys 'Round Here |
E528035
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Craig Wiseman |
—
|
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: Craig Wiseman | Statement: [Boys 'Round Here, writer, Craig Wiseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Wiseman Context triple: [Boys 'Round Here, writer, Craig Wiseman]
-
A.
Craig Wiseman
chosen
Craig Wiseman is an American country music songwriter and producer known for penning numerous chart-topping hits for major artists in the genre.
-
B.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
C.
Craig Weller
Craig Weller is a business figure known for co-founding an enterprise alongside Renee Lawson Hardy.
-
D.
Jason Wise
Jason Wise is a fictional character who serves as the central protagonist in the supernatural horror film Final Destination 3.
-
E.
Jim Weidman
Jim Weidman is a music producer best known for his work on major film scores, including the soundtrack for the 2005 remake of King Kong.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62d01634819089dd64fe7bc5ccbd |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:31 p.m.