Triple
T18929662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Schermerhorn |
E463067
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schermerhorn |
—
|
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: Schermerhorn | Statement: [Abraham Schermerhorn, familyName, Schermerhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schermerhorn Context triple: [Abraham Schermerhorn, familyName, Schermerhorn]
-
A.
Schermerhorn
chosen
Schermerhorn is the birth surname of American actress Alison Brie, known for her roles in "Community" and "Mad Men."
-
B.
Conerly
Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
-
C.
Gridley Bryant
Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
-
D.
Rummenohl
Rummenohl is a locality in Germany situated along the Volme River, known historically for its industrial and railway connections.
-
E.
Chauncey
Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bea84081908fbe657fb4657c0b |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.