Triple
T20807092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finishing the Game |
E512191
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Roger Fan |
—
|
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: Roger Fan | Statement: [Finishing the Game, stars, Roger Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Fan Context triple: [Finishing the Game, stars, Roger Fan]
-
A.
Roger Fan
chosen
Roger Fan is an American actor best known for his roles in Asian American independent films and collaborations with director Justin Lin.
-
B.
Greg Rama
Greg Rama is the son of Albanian Prime Minister and artist Edi Rama.
-
C.
Anthony Katagas
Anthony Katagas is an American film producer known for his work on acclaimed independent and studio films, including collaborations with prominent directors such as James Gray.
-
D.
Tom Guise
Tom Guise was an early 20th-century American film actor who appeared in silent-era productions.
-
E.
Joe Higashi
Joe Higashi is a Muay Thai kickboxer and energetic fighter from SNK’s Fatal Fury and The King of Fighters series, known for his flashy techniques and comedic personality.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cfdee481908e42a1a8940ea40c |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.