Triple
T4138759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission: Impossible – Dead Reckoning Part One |
E89220
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Benji Dunn |
E413792
|
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: Benji Dunn | Statement: [Mission: Impossible – Dead Reckoning Part One, featuresCharacter, Benji Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benji Dunn Context triple: [Mission: Impossible – Dead Reckoning Part One, featuresCharacter, Benji Dunn]
-
A.
Benji Dunn
chosen
Benji Dunn is a tech-savvy field agent and close ally of Ethan Hunt in the Mission: Impossible film series, known for his blend of comic relief and resourcefulness.
-
B.
Benji Wojin
Benji Wojin is one of the children of Google co-founder Sergey Brin.
-
C.
Dustin Henderson
Dustin Henderson is a witty, science-loving teenager from the Netflix series "Stranger Things," known for his loyalty, curiosity, and inventive problem-solving in the face of supernatural threats.
-
D.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
-
E.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02485a788190ba6ee769e663b2d3 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c9f8a081908c2910ac475e4974 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.