Triple
T7975884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Milton Gregory |
E185444
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Milton |
E134051
|
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: Milton | Statement: [John Milton Gregory, middleName, Milton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milton Context triple: [John Milton Gregory, middleName, Milton]
-
A.
Milton
Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
-
B.
Milton
Milton is a town located within Saratoga County in the state of New York, United States.
-
C.
Milton
chosen
Milton is a common English surname most famously borne by the 17th-century poet John Milton, author of "Paradise Lost."
-
D.
Milton
Milton is a small rural service town in the Otago region of New Zealand, historically linked to the local forestry and farming industries.
-
E.
Milton
Milton is a Canadian federal electoral district in Ontario represented in the House of Commons.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5677968881908835169157244962 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:14 p.m.