Triple
T20878183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Fogler |
E514074
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Randy Daytona |
—
|
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: Randy Daytona | Statement: [Dan Fogler, notableCharacter, Randy Daytona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Daytona Context triple: [Dan Fogler, notableCharacter, Randy Daytona]
-
A.
Randy Daytona
chosen
Randy Daytona is the washed-up former ping-pong prodigy and comedic underdog hero of the sports parody film "Balls of Fury."
-
B.
Randy
Randy is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and emotional conflicts that drive the story.
-
C.
Randy
Randy is the nickname of Randy Moffitt, a former Major League Baseball relief pitcher best known for his long tenure with the San Francisco Giants in the 1970s.
-
D.
Randy
Randy is a masculine given name commonly used in English-speaking countries, often as a diminutive of Randall or Randolph.
-
E.
Randy Tack
Randy Tack is an American local politician serving as the mayor of Lake Forest, Illinois.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.