Triple
T3196637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page |
E66950
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Paige |
E259904
|
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: Paige | Statement: [Page, hasVariant, Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paige Context triple: [Page, hasVariant, Paige]
-
A.
Paige
chosen
Paige is a British professional wrestler whose life and career inspired the biographical sports comedy-drama film "Fighting with My Family."
-
B.
Paige Hurd
Paige Hurd is an American actress best known for her roles in television series such as "Everybody Hates Chris" and "The Oval," as well as various film appearances.
-
C.
Paige Alexander
Paige Alexander is an American nonprofit leader and former U.S. government official who serves as the chief executive officer of The Carter Center.
-
D.
Paige Howard
Paige Howard is an American actress known for her work in film, television, and theater, and as a member of the Howard entertainment family.
-
E.
Paige Brown
Paige Brown is a film producer best known for her work on the mystery adventure movie "Enola Holmes."
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e69ff6081908189e2e756e3748b |
completed | March 12, 2026, 9:59 a.m. |
Created at: March 8, 2026, 3:07 p.m.