Triple
T9536557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Fisk |
E230029
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fisk |
E45618
|
NE FINISHED |
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: Fisk | Statement: [Jonathan Fisk, familyName, Fisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fisk Context triple: [Jonathan Fisk, familyName, Fisk]
-
A.
Fisk
chosen
Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
-
B.
Fiske
Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
-
C.
Fysh
Fysh is a surname most notably associated with Sir Hudson Fysh, the Australian aviator and co-founder of Qantas.
-
D.
Karpf
Karpf is a surname of German origin, likely a variant of "Karp," borne by various individuals across German-speaking regions.
-
E.
Pomfret
Pomfret is a small, historic town in northeastern Connecticut known for its rural character, scenic landscapes, and prestigious boarding schools.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15278efd4819091e707aabd9a59d7 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:01 p.m.