Triple
T13433678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Flair |
E320173
|
entity |
| Predicate | hasFeudWith |
P16446
|
FINISHED |
| Object | Bayley |
E600020
|
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: Bayley | Statement: [Charlotte Flair, hasFeudWith, Bayley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayley Context triple: [Charlotte Flair, hasFeudWith, Bayley]
-
A.
Bayley
chosen
Bayley is a prominent American professional wrestler best known for her successful career in WWE, where she has held multiple women’s championships and evolved from a beloved fan-favorite to a top villain.
-
B.
Riley
Riley is a given name commonly used for people of any gender in English-speaking countries.
-
C.
Riley
Riley is the given name of Riley B. King, better known as the legendary blues musician B.B. King.
-
D.
Riley
Riley is a historic British automobile marque best known for its sporting and luxury cars produced during the early to mid-20th century.
-
E.
Riley
Riley is the iconic German Shepherd military dog companion featured in the video game Call of Duty: Ghosts.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.