Triple
T20312737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Fisher |
E510295
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeremy Fisher |
—
|
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: Jeremy Fisher | Statement: [Jeremy Fisher, name, Jeremy Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Fisher Context triple: [Jeremy Fisher, name, Jeremy Fisher]
-
A.
Jeremy Fisher
chosen
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
-
B.
Jonathan Fisher
Jonathan Fisher is a fictional character from the film "Street Smart," portrayed as an ambitious but morally conflicted journalist whose fabricated crime story spirals dangerously out of control.
-
C.
Lang Fisher
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
-
D.
Jeremy Ratchford
Jeremy Ratchford is a Canadian actor best known for his role as Detective Nick Vera on the television crime drama "Cold Case."
-
E.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677450ee0819081f02b5e95f40176 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.