Triple
T2200673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fate of the Furious |
E50480
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Vin Diesel |
E197269
|
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: Vin Diesel | Statement: [The Fate of the Furious, starring, Vin Diesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vin Diesel Context triple: [The Fate of the Furious, starring, Vin Diesel]
-
A.
Vin Diesel
chosen
Vin Diesel is an American actor and producer best known for his role as Dominic Toretto in the Fast & Furious film franchise.
-
B.
Jason Statham
Jason Statham is an English actor and former competitive diver best known for his tough-guy roles in high-octane action films such as The Transporter, Crank, and The Expendables franchises.
-
C.
Christopher Neil
Christopher Neil is a British record producer and songwriter best known for his work on numerous pop hits in the 1980s and 1990s.
-
D.
Michael Wahlberg
Michael Wahlberg is one of the children of American actor, producer, and former rapper Mark Wahlberg.
-
E.
Ben Foster
Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65473fd48190b58dba4205776096 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.