Triple
T7961838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit the Floor |
E184883
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Taylour Paige |
E219110
|
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: Taylour Paige | Statement: [Hit the Floor, stars, Taylour Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylour Paige Context triple: [Hit the Floor, stars, Taylour Paige]
-
A.
Taylour Paige
chosen
Taylour Paige is an American actress and former dancer known for her acclaimed performances in films such as "Zola" and "Ma Rainey's Black Bottom," as well as the TV series "Hit the Floor."
-
B.
Holly Rae Taylor
Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
-
C.
Bailee Madison
Bailee Madison is an American actress known for her work as a child and teen performer in films and television series such as "Bridge to Terabithia," "Don't Be Afraid of the Dark," and "Good Witch."
-
D.
Savannah Phillips
Savannah Phillips is the eldest great-grandchild of Queen Elizabeth II and the daughter of Peter Phillips, making her a member of the British royal family.
-
E.
Mackenzie Davis
Mackenzie Davis is a Canadian actress known for her roles in films like "Blade Runner 2049" and "The Martian" and the TV series "Halt and Catch Fire."
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe08c36f48190b005c6c92ad813d0 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.