Triple
T3889485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert W. de Forest |
E88023
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Forest |
E494
|
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: de Forest | Statement: [Robert W. de Forest, familyName, de Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Forest Context triple: [Robert W. de Forest, familyName, de Forest]
-
A.
de Forest
chosen
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
B.
DeForest
DeForest is a village in south-central Wisconsin, United States, known as a growing suburban community near the city of Madison.
-
C.
Grand Forest
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
-
D.
بوستان
بوستان is a celebrated didactic Persian poem by the medieval poet Saadi of Shiraz, renowned for its moral stories and ethical teachings.
-
E.
Chitwood
Chitwood was a pioneering nematologist best known for his foundational work in describing and classifying plant-parasitic nematodes.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c8f299c8190a6a53ec59837b402 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:21 p.m.