Triple
T19358103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Busch |
E484202
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Guilford |
—
|
NE NERFINISHED |
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: [Adolf Busch, placeOfDeath, Guilford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guilford Context triple: [Adolf Busch, placeOfDeath, Guilford]
-
A.
Guilford
Guilford is a town located within the Windham Region of Vermont, known for its rural character and New England landscape.
-
B.
Guilford
Guilford is a British territorial designation historically associated with the noble title of Baron Guilford.
-
C.
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.
-
D.
Middletown
Middletown is the sociological pseudonym for Muncie, Indiana, famously used in classic studies as a representative American small city.
-
E.
Middletown
Middletown is a city in southwestern Ohio known historically for its steel industry and location between Cincinnati and Dayton.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190a1ec88190ba6d2d45174dc85a |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.