Triple
T12090214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep State |
E287921
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Matthew Parkhill |
E969030
|
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 Parkhill | Statement: [Deep State, executiveProducer, Matthew Parkhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Parkhill Context triple: [Deep State, executiveProducer, Matthew Parkhill]
-
A.
Matthew Parkhill
chosen
Matthew Parkhill is a British screenwriter, director, and producer best known for creating the espionage thriller television series "Deep State."
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Greg Mullavey
Greg Mullavey is an American actor best known for his role as Tom Hartman on the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
-
E.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915161f848190a6355c1e372eadaa |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e42cd588190835b3e8160bdbba5 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:48 p.m.