Triple
T2758533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Fry |
E61163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fry |
E137530
|
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: Fry | Statement: [Stephen Fry, familyName, Fry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fry Context triple: [Stephen Fry, familyName, Fry]
-
A.
Fry
chosen
Fry is a common English surname borne by various notable figures in fields such as art, literature, and entertainment.
-
B.
Frisch
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
C.
Fritchie
Fritchie is the surname associated with Barbara Frietchie, the American Civil War heroine immortalized in John Greenleaf Whittier’s poem for defiantly flying the Union flag.
-
D.
Jeeter Fry
Jeeter Fry is the original character from the stage musical "Oklahoma!" on whom the darker, reimagined Jud Fry in the film adaptation was based.
-
E.
Fisk
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.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbe2d9cc81909b041635ae793bc3 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.