Triple
T5701258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sower |
E125667
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | sower |
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: sower | Statement: [The Sower, mainSubject, sower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sower Context triple: [The Sower, mainSubject, sower]
-
A.
The Sower
The Sower is a prominent bronze statue symbolizing agriculture and human labor that crowns the tower of the Nebraska State Capitol in Lincoln.
-
B.
The Sower
The Sower is a famous mid-19th-century painting by Jean-François Millet that powerfully depicts a peasant farmer sowing seeds, symbolizing rural labor and social realism.
-
C.
Semín
Semín is a small village in the Pardubice Region of the Czech Republic, known as the birthplace of architect Josef Gočár.
-
D.
Farmer
chosen
Farmer is a common English occupational surname originally given to people who worked in agriculture or collected taxes on farmed land.
-
E.
The Seed Cutters
"The Seed Cutters" is a poem by Seamus Heaney that reflects on rural Irish life and traditional agricultural labor through vivid, tactile imagery.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024540afc8190aee3760f71ea39c2 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5fe4fc8190944a63a29da0fe3c |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.