Triple
T17873341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Forsythe |
E446888
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Forsythe |
—
|
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: Forsythe | Statement: [William Forsythe, familyName, Forsythe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forsythe Context triple: [William Forsythe, familyName, Forsythe]
-
A.
Forsythe
chosen
Forsythe is a surname most prominently associated with American choreographer William Forsythe, renowned for his innovative contributions to contemporary ballet.
-
B.
Flinton
Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Winfield
Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
-
E.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa4959881908774dafb7be99191 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.