Triple
T12685909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Debt |
E303064
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matthew Vaughn |
E48037
|
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: Matthew Vaughn | Statement: [The Debt, producer, Matthew Vaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Vaughn Context triple: [The Debt, producer, Matthew Vaughn]
-
A.
Matthew Vaughn
chosen
Matthew Vaughn is a British filmmaker and producer known for stylish, fast-paced genre movies such as "Layer Cake," "Kick-Ass," and the "Kingsman" series.
-
B.
Shane Black
Shane Black is an American screenwriter, director, and actor best known for writing the original Lethal Weapon and directing films such as Kiss Kiss Bang Bang and Iron Man 3.
-
C.
Tim Miller
Tim Miller is a filmmaker best known for directing the blockbuster science fiction film "Deadpool" and later helming "Terminator: Dark Fate."
-
D.
Ruben Fleischer
Ruben Fleischer is an American film director and producer best known for helming movies such as "Zombieland," "Venom," and other major Hollywood action-comedies.
-
E.
Michael Vaughn
Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.