Triple
T8782252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Epps |
E208757
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Makayla Epps
Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
|
E766977
|
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: Makayla Epps | Statement: [Mike Epps, hasChild, Makayla Epps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makayla Epps Context triple: [Mike Epps, hasChild, Makayla Epps]
-
A.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
B.
Madison Epps
Madison Epps is a daughter of American stand-up comedian and actor Mike Epps.
-
C.
Laiyah Shannon Brown
Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
-
D.
Farrah Abraham
Farrah Abraham is an American reality television personality, author, and entrepreneur who first gained fame documenting her life as a young mother on MTV.
-
E.
Amber Atkins
Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
- 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: Makayla Epps Triple: [Mike Epps, hasChild, Makayla Epps]
Generated description
Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makayla Epps Target entity description: Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
-
A.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
B.
Madison Epps
Madison Epps is a daughter of American stand-up comedian and actor Mike Epps.
-
C.
Laiyah Shannon Brown
Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
-
D.
Farrah Abraham
Farrah Abraham is an American reality television personality, author, and entrepreneur who first gained fame documenting her life as a young mother on MTV.
-
E.
Amber Atkins
Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba0022748190a89322201abe2cf8 |
completed | April 3, 2026, 1 p.m. |
| NEDg | Description generation | batch_69cfbdb9a1448190a654bf5e3e6803bd |
completed | April 3, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbe272380819088d5fc66a814f08b |
completed | April 3, 2026, 1:18 p.m. |
Created at: March 30, 2026, 6:42 p.m.