Triple
T2461699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast & Furious |
E54547
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Paul Walker |
E242242
|
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: Paul Walker | Statement: [Fast & Furious, stars, Paul Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Walker Context triple: [Fast & Furious, stars, Paul Walker]
-
A.
Paul Walker
Paul Walker is a British businessman and former chief executive of the software company Sage Group, known for his leadership in the technology and business sectors.
-
B.
Paul Walker
chosen
Paul Walker was an American actor best known for his role as Brian O'Conner in the "Fast & Furious" film franchise.
-
C.
Joe Ranft
Joe Ranft was an influential American storyboard artist, writer, and animator best known for his key creative contributions to numerous Disney and Pixar films.
-
D.
Vin Diesel
Vin Diesel is an American actor and producer best known for his role as Dominic Toretto in the Fast & Furious film franchise.
-
E.
Dominic Toretto
Dominic Toretto is a street-racing ex-convict turned elite heist leader and fiercely loyal patriarch who serves as the central protagonist of the Fast & Furious film franchise.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.