Triple
T18028109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where the Green Grass Grows |
E431314
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Curb / McGraw |
—
|
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: Curb / McGraw | Statement: [Where the Green Grass Grows, recordLabel, Curb / McGraw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curb / McGraw Context triple: [Where the Green Grass Grows, recordLabel, Curb / McGraw]
-
A.
Curb / McGraw
chosen
Curb / McGraw is a country music record label imprint associated with Tim McGraw and Curb Records.
-
B.
Matt McGraw
Matt McGraw is the husband of Hall of Fame women's basketball coach Muffet McGraw.
-
C.
Mark McGraw
Mark McGraw is a former professional baseball player who briefly pitched in Major League Baseball during the 1990s.
-
D.
Jay McGraw
Jay McGraw is an American television producer, author, and the son of TV personality Dr. Phil McGraw, known for producing and appearing on various reality and talk shows.
-
E.
Earl McGraw
Earl McGraw is a recurring, hard-bitten Texas lawman character who appears across multiple Quentin Tarantino and Robert Rodriguez films, often providing darkly comic commentary amid violent, pulpy storylines.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.