Triple
T14957255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastbound & Down |
E372963
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Katy Mixon |
E1077807
|
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: Katy Mixon | Statement: [Eastbound & Down, starring, Katy Mixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katy Mixon Context triple: [Eastbound & Down, starring, Katy Mixon]
-
A.
Katy Mixon
chosen
Katy Mixon is an American actress known for her roles in film and television, including prominent parts in the sitcom "American Housewife" and the comedy series "Mike & Molly."
-
B.
Bryana Thomkins
Bryana Thomkins is the youngest, sweet-natured niece on the sitcom "The Bernie Mac Show," known for her innocence and close bond with her Uncle Bernie.
-
C.
Katie McNeil
Katie McNeil is an American talent manager best known for her work in the music industry and for being married to singer-songwriter Neil Diamond.
-
D.
Katy Cavanagh
Katy Cavanagh is a British actress best known for her role as Julie Carp on the long-running soap opera "Coronation Street."
-
E.
Shannon Mullins
Shannon Mullins is a tough, foul-mouthed Boston detective portrayed by Melissa McCarthy in the buddy cop comedy film "The Heat."
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5a8b3708190be7c35a05fd08a52 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:40 a.m.