Triple
T14856440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariah Kennedy-Cuomo |
E349366
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mariah |
E349366
|
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: Mariah | Statement: [Mariah Kennedy-Cuomo, givenName, Mariah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariah Context triple: [Mariah Kennedy-Cuomo, givenName, Mariah]
-
A.
Mariah
chosen
Mariah is the given name of Mariah Kennedy-Cuomo, an American activist and daughter of politician Andrew Cuomo and author Kerry Kennedy.
-
B.
Mariah Dillard
Mariah Dillard is a powerful Harlem politician and crime boss in Marvel's Luke Cage series, known for her ruthless ambition and complex moral ambiguity.
-
C.
Mýa
Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
-
D.
Maiya
Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
-
E.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.