Triple
T22961976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Complications |
E570925
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Matt Nix |
—
|
NE NERFINISHED |
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: Matt Nix | Statement: [Complications, creator, Matt Nix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Nix Context triple: [Complications, creator, Matt Nix]
-
A.
Matt Nix
chosen
Matt Nix is an American television writer and producer best known for creating the series "Burn Notice" and other crime and action-driven shows.
-
B.
Matt Nokes
Matt Nokes is a former Major League Baseball catcher, best known for his All-Star rookie season with the Detroit Tigers in 1987.
-
C.
Robert Nix
Robert Nix was an American songwriter and drummer best known as a founding member of the Atlanta Rhythm Section and co-writer of several of the band’s hit songs.
-
D.
Matt Nable
Matt Nable is an Australian actor, writer, and former professional rugby league player known for roles in film and television, including genre series and crime dramas.
-
E.
David Nix
David Nix is the authoritarian governor of the futuristic city in Disney’s science-fiction film "Tomorrowland," serving as the story’s primary antagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f594fc8190816418486b798198 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.