Triple
T19326675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reister’s Town |
E483373
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Reister |
—
|
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: John Reister | Statement: [Reister’s Town, namedAfter, John Reister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Reister Context triple: [Reister’s Town, namedAfter, John Reister]
-
A.
John Reister
chosen
John Reister was an early settler and landowner after whom the community of Reisterstown, Maryland, was named.
-
B.
Dan Rieser
Dan Rieser is an American drummer and percussionist known for his work with various rock, jazz, and Americana artists, including as a member of the country-influenced band The Little Willies.
-
C.
Richard Reitinger
Richard Reitinger is a German screenwriter best known for co-writing Wim Wenders’ acclaimed film "Wings of Desire."
-
D.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
E.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163e3a5081909195192356bcebc3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.