Triple
T19666600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weld |
E472215
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Farmer John |
—
|
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 John | Statement: [Weld, includesSong, Farmer John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farmer John Context triple: [Weld, includesSong, Farmer John]
-
A.
Farmer John
chosen
"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.
-
B.
FJ
FJ is the IATA airline designator for Fiji Airways, the national carrier of Fiji operating regional and international flights.
-
C.
William Farmer
William Farmer is an American voice actor best known for providing the voice of Disney's Goofy and other iconic animated characters.
-
D.
Farmer
Farmer is a novel by American author Jim Harrison that explores the inner life and moral struggles of a Midwestern schoolteacher and farmer.
-
E.
Farmer
Farmer is a common English occupational surname originally given to people who worked in agriculture or collected taxes on farmed land.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.