Triple
T22068441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lynch |
E545341
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Lynch |
—
|
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 Lynch | Statement: [John Lynch, name, John Lynch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Lynch Context triple: [John Lynch, name, John Lynch]
-
A.
John Lynch
chosen
John Lynch is an Irish actor known for his work in film, television, and theatre, including notable roles in dramas such as "In the Name of the Father."
-
B.
John Lynch
John Lynch was an 18th-century American Quaker and entrepreneur who founded a ferry service and settlement that eventually grew into the city of Lynchburg, Virginia.
-
C.
Jim Butterfield
Jim Butterfield was a renowned Canadian computer programmer, author, and educator best known for his influential work on Commodore computers and early home computing.
-
D.
John Huard
John Huard is a former American football linebacker and coach who played in the AFL/NFL and later coached in the Canadian Football League.
-
E.
Phil Bennett
Phil Bennett is a fictional character who serves as a member of the Starship crew in the related science fiction universe.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.