Triple
T9998729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vin Diesel |
E197269
|
entity |
| Predicate | stageName |
P7872
|
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: [Vin Diesel, stageName, Vin Diesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vin Diesel Context triple: [Vin Diesel, stageName, 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.
Steve Brand
Steve Brand is a central, level-headed suburban resident whose growing paranoia and suspicion drive much of the tension in the classic Twilight Zone episode "The Monsters Are Due on Maple Street."
-
C.
Sam Jaeger
Sam Jaeger is an American actor best known for his role as Joel Graham on the television drama series "Parenthood."
-
D.
Christopher O’Neal
Christopher O’Neal is an American actor best known for his starring role on the Nickelodeon teen sitcom "How to Rock."
-
E.
Adam Beach
Adam Beach is a Canadian First Nations actor known for his roles in films such as "Smoke Signals," "Windtalkers," and "Flags of Our Fathers," as well as various television series.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8c78448190a5332f4ff8a7b3dd |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2584bd6cc8190841353847dd2f00c |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.