Triple
T15974954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Flair |
E387420
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Megan Fliehr |
—
|
NE NERFINISHED |
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: Megan Fliehr | Statement: [Charlotte Flair, sibling, Megan Fliehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Fliehr Context triple: [Charlotte Flair, sibling, Megan Fliehr]
-
A.
Megan Fliehr
chosen
Megan Fliehr is the daughter of legendary professional wrestler Ric Flair and the sister of WWE star Charlotte Flair.
-
B.
Megan McCloskey
Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
-
C.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
-
D.
Megan Gustafson
Megan Gustafson is an American professional basketball player and former Iowa Hawkeyes star known for her dominant post play and national player of the year honors in college.
-
E.
Megan Beyer
Megan Beyer is an American journalist and civic leader known for her work in cultural diplomacy, gender equality, and public policy initiatives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572c216c81908f2070d2a87609c2 |
completed | April 16, 2026, 9:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.