Triple
T6742226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Storrs |
E154110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Storrs |
E52578
|
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: Storrs | Statement: [George Storrs, familyName, Storrs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storrs Context triple: [George Storrs, familyName, Storrs]
-
A.
Storrs, Connecticut
chosen
Storrs, Connecticut is a village in the town of Mansfield best known as the home of the University of Connecticut’s main campus.
-
B.
Middlebury
Middlebury is a small suburban town in western Connecticut known for its residential character and proximity to Waterbury.
-
C.
Amherst
Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
-
D.
Amherst
Amherst is a town in northwestern Nova Scotia, Canada, known historically as a regional industrial and transportation hub.
-
E.
University of Connecticut
The University of Connecticut is a major public research university known for its strong academic programs and prominent athletics, particularly its nationally successful basketball teams.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b245988190a9d5260f4872bbea |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.