Triple
T15211168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underground |
E363516
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Amirah Vann
Amirah Vann is an American actress best known for her breakout role as Ernestine in the television drama series "Underground."
|
E1144099
|
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: Amirah Vann | Statement: [Underground, starredActor, Amirah Vann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amirah Vann Context triple: [Underground, starredActor, Amirah Vann]
-
A.
Amirah O'Neal
Amirah O'Neal is an American college basketball player and the daughter of NBA Hall of Famer Shaquille O'Neal.
-
B.
Aiysha Hart
Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
-
C.
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.
-
D.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
E.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
- 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: Amirah Vann Triple: [Underground, starredActor, Amirah Vann]
Generated description
Amirah Vann is an American actress best known for her breakout role as Ernestine in the television drama series "Underground."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amirah Vann Target entity description: Amirah Vann is an American actress best known for her breakout role as Ernestine in the television drama series "Underground."
-
A.
Amirah O'Neal
Amirah O'Neal is an American college basketball player and the daughter of NBA Hall of Famer Shaquille O'Neal.
-
B.
Aiysha Hart
Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
-
C.
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.
-
D.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
E.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33f9abc8190bf8166c1fd9fcac6 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed7b95124819097783740d9990e75 |
completed | May 9, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed84f6a888190afd2d0cf2ba9d3a2 |
completed | May 9, 2026, 6:46 a.m. |
Created at: April 10, 2026, 3:11 a.m.