Triple
T8782253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Epps |
E208757
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Moriah Epps
Moriah Epps is a daughter of American stand-up comedian and actor Mike Epps.
|
E767666
|
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: Moriah Epps | Statement: [Mike Epps, hasChild, Moriah Epps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moriah Epps Context triple: [Mike Epps, hasChild, Moriah Epps]
-
A.
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.
-
B.
Lilly McDowell
Lilly McDowell is an American actress known for roles in film and television and as the daughter of actors Mary Steenburgen and Malcolm McDowell.
-
C.
Melora Hardin
Melora Hardin is an American actress and singer best known for her roles in television series such as "The Office" and "Monk," as well as numerous film and stage performances.
-
D.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
-
E.
Margaret Qualley
Margaret Qualley is an American actress known for her breakout role in HBO's "The Leftovers" and acclaimed performances in projects like "Maid" and "Once Upon a Time in Hollywood."
- 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: Moriah Epps Triple: [Mike Epps, hasChild, Moriah Epps]
Generated description
Moriah Epps is a daughter of American stand-up comedian and actor Mike Epps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moriah Epps Target entity description: Moriah Epps is a daughter of American stand-up comedian and actor Mike Epps.
-
A.
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.
-
B.
Lilly McDowell
Lilly McDowell is an American actress known for roles in film and television and as the daughter of actors Mary Steenburgen and Malcolm McDowell.
-
C.
Melora Hardin
Melora Hardin is an American actress and singer best known for her roles in television series such as "The Office" and "Monk," as well as numerous film and stage performances.
-
D.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
-
E.
Margaret Qualley
Margaret Qualley is an American actress known for her breakout role in HBO's "The Leftovers" and acclaimed performances in projects like "Maid" and "Once Upon a Time in Hollywood."
- 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_69cfc1bbf6b881909bc154caa2fcadbe |
completed | April 3, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69cfc26e039881909f623ba5b1b7f7e1 |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc350afc08190a17c61041d6d8193 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:42 p.m.