Triple
T8788850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Serkin |
E209109
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Guilford |
E339041
|
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: Guilford | Statement: [Rudolf Serkin, placeOfDeath, Guilford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guilford Context triple: [Rudolf Serkin, placeOfDeath, Guilford]
-
A.
Guilford, Connecticut
chosen
Guilford, Connecticut is a historic coastal New England town on Long Island Sound known for its colonial architecture, town green, and shoreline community character.
-
B.
Middletown
Middletown is a small historic town located in Frederick County in the northern Shenandoah Valley region of Virginia, United States.
-
C.
Middletown
Middletown is one of New Jersey’s oldest and largest suburban communities, known for its historic roots, residential neighborhoods, and proximity to the Jersey Shore.
-
D.
Middletown
Middletown is a city in central Connecticut known as the home of Wesleyan University and its historic downtown along the Connecticut River.
-
E.
Middletown
Middletown is a coastal town on Aquidneck Island in Rhode Island, known for its beaches, historic sites, and proximity to Newport.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc921d3408190a2f823473bf9b4bc |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:43 p.m.