Triple
T17834977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Wydler |
E445358
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wydler |
—
|
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: Wydler | Statement: [John W. Wydler, familyName, Wydler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wydler Context triple: [John W. Wydler, familyName, Wydler]
-
A.
Wydler
chosen
Wydler is a surname most notably associated with American politician John W. Wydler, who served as a U.S. Representative from New York.
-
B.
Blakiston
Blakiston is an English surname historically associated with notable figures such as explorer and naturalist Thomas Blakiston.
-
C.
Kittlitz
Kittlitz was a 19th-century German naturalist and explorer known for his extensive work in describing new bird species.
-
D.
Swardson
Swardson is the surname of American comedian, actor, and writer Nick Swardson, known for his stand-up specials and roles in various comedy films and TV shows.
-
E.
Kennoway
Kennoway is a village in Fife, Scotland, known historically for its coal mining and linen industries and now largely a residential community.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d271e4481909664897cb789fe4a |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.