Triple
T20471671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Becoming a God in Central Florida |
E502207
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Matt Lutsky
Matt Lutsky is a television writer and producer best known for co-creating the dark comedy series "On Becoming a God in Central Florida."
|
E1451529
|
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 Lutsky | Statement: [On Becoming a God in Central Florida, creator, Matt Lutsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Lutsky Context triple: [On Becoming a God in Central Florida, creator, Matt Lutsky]
-
A.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
B.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
C.
Brian Yablonski
Brian Yablonski is a conservation-focused public policy leader and writer known for his work on wildlife, land stewardship, and free-market environmentalism.
-
D.
Josh Srebnick
Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
-
E.
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
- 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 Lutsky Triple: [On Becoming a God in Central Florida, creator, Matt Lutsky]
Generated description
Matt Lutsky is a television writer and producer best known for co-creating the dark comedy series "On Becoming a God in Central Florida."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Lutsky Target entity description: Matt Lutsky is a television writer and producer best known for co-creating the dark comedy series "On Becoming a God in Central Florida."
-
A.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
B.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
C.
Brian Yablonski
Brian Yablonski is a conservation-focused public policy leader and writer known for his work on wildlife, land stewardship, and free-market environmentalism.
-
D.
Josh Srebnick
Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
-
E.
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8a248248190b739bffba2d40afb |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08fd01f8008190948668995b3616e0 |
completed | May 16, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fd71000c8190b72164d00be3be4d |
completed | May 16, 2026, 11:27 p.m. |
Created at: April 16, 2026, 11:33 a.m.