Triple
T6523816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Stark |
E151251
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Matt Nix
Matt Nix is an American television writer and producer best known for creating the series "Burn Notice" and other crime and action-driven shows.
|
E605035
|
NE FINISHED |
How this triple was built (4 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: [Dan Stark, creator, Matt Nix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Nix Context triple: [Dan Stark, creator, Matt Nix]
-
A.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
B.
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.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
D.
Jeff Nickell
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
-
E.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matt Nix Triple: [Dan Stark, creator, Matt Nix]
Generated description
Matt Nix is an American television writer and producer best known for creating the series "Burn Notice" and other crime and action-driven shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Nix Target entity description: Matt Nix is an American television writer and producer best known for creating the series "Burn Notice" and other crime and action-driven shows.
-
A.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
B.
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.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
D.
Jeff Nickell
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
-
E.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
- F. None of above. chosen
Provenance (5 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52372d08190a98c611dabc27c85 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6d9af148190ad9cd2cc31a70bb7 |
completed | March 27, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d98506b88190aae3b4d887744648 |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 1:45 p.m.