Triple
T5701184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gleaners |
E125665
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | gleaners |
E125665
|
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: gleaners | Statement: [The Gleaners, mainSubject, gleaners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gleaners Context triple: [The Gleaners, mainSubject, gleaners]
-
A.
The Gleaners
chosen
The Gleaners is an 1857 realist painting by Jean-François Millet that poignantly depicts three peasant women gleaning leftover grain in a field, symbolizing rural poverty and social inequality in 19th-century France.
-
B.
Oleiros
Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
-
C.
Harvest
Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
-
D.
Harvest
"Harvest" is a medical thriller novel by Tess Gerritsen that follows a young surgical resident who uncovers a deadly black-market organ trafficking scheme.
-
E.
The Harvest
The Harvest is an Impressionist painting by Camille Pissarro depicting rural agricultural laborers working in the fields.
- 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.