Triple
T20386865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Run Fatboy Run |
E497981
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object | Dennis Doyle |
—
|
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: Dennis Doyle | Statement: [Run Fatboy Run, characterPortrayedBy, Dennis Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Doyle Context triple: [Run Fatboy Run, characterPortrayedBy, Dennis Doyle]
-
A.
Dennis Doyle
chosen
Dennis Doyle is the hapless, out-of-shape protagonist of the British romantic comedy film "Run Fatboy Run," who attempts to win back his ex-fiancée by training for and running a marathon.
-
B.
Dennis Loughran
Dennis Loughran is the half-human, half-vampire grandson of Dracula in the animated film series "Hotel Transylvania."
-
C.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
-
D.
David Doherty
David Doherty is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and academia.
-
E.
Joe Doyle
Joe Doyle is an actor best known for his role in the supernatural horror television series "Salem."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.