Triple
T8888643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Farmer |
E211600
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Farmer (surname) |
E41986
|
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: Farmer (surname) | Statement: [Janet Farmer, associatedWith, Farmer (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farmer (surname) Context triple: [Janet Farmer, associatedWith, Farmer (surname)]
-
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 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.
-
C.
Yeoman
Yeoman is a scaffolding tool for modern web applications that streamlines project setup by generating boilerplate code and configuration through customizable generators.
-
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.
New Farm
New Farm is an inner-city riverside suburb of Brisbane, Australia, known for its parklands, vibrant dining scene, and proximity to the central business district.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618e58d08190be3ebcbe3701b1db |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe955e08190a8d61cfaa2d52731 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.