Triple
T14220449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Shuey |
E352475
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Meghan Payton |
E240997
|
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: Meghan Payton | Statement: [Beth Shuey, hasChild, Meghan Payton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meghan Payton Context triple: [Beth Shuey, hasChild, Meghan Payton]
-
A.
Meghan Payton
chosen
Meghan Payton is the daughter of longtime NFL head coach Sean Payton and has worked as a sports media personality and reporter.
-
B.
Emily Miles
Emily Miles is a British civil servant who serves as the Chief Executive of the UK’s Food Standards Agency, overseeing food safety and public health regulation.
-
C.
Krystle Campbell
Krystle Campbell was a young American woman from Massachusetts who was killed in the 2013 Boston Marathon bombing and became one of its most widely remembered victims.
-
D.
Megyn Marie Kelly
Megyn Marie Kelly is an American journalist, attorney, and media personality best known for her work as a news anchor on Fox News and later as a host on NBC.
-
E.
Missi Pyle
Missi Pyle is an American actress and singer known for her comedic and character roles in films such as "Galaxy Quest," "Dodgeball," and "Charlie and the Chocolate Factory."
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28121a288190975d5852f9a503d4 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.