Triple
T18669575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Farmer |
E456435
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Farmer |
—
|
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: Farmer | Statement: [Gary Farmer, familyName, Farmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farmer Context triple: [Gary Farmer, familyName, Farmer]
-
A.
Farmer
chosen
Farmer is a common English occupational surname originally given to people who worked in agriculture or collected taxes on farmed land.
-
B.
Farmer
Farmer is the NATO reporting name for the Soviet-designed Mikoyan-Gurevich MiG-19 supersonic fighter aircraft.
-
C.
Farmer
Farmer is a novel by American author Jim Harrison that explores the inner life and moral struggles of a Midwestern schoolteacher and farmer.
-
D.
Red Farmer
Red Farmer is an American stock car racing driver and longtime NASCAR competitor known as one of the sport’s early stars and a member of the Alabama Gang.
-
E.
Farmer John
"Farmer John" is a grungy, guitar-driven rock song by Neil Young & Crazy Horse, featured on their 1990 album *Ragged Glory* and known for its raw, garage-band sound.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.