Triple
T3122337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayla Parx |
E65213
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tayla Parx |
E65213
|
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: Tayla Parx | Statement: [Tayla Parx, name, Tayla Parx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tayla Parx Context triple: [Tayla Parx, name, Tayla Parx]
-
A.
Tayla Parx
chosen
Tayla Parx is an American singer, songwriter, and actress known for penning hits for major pop and R&B artists as well as releasing her own genre-blending music.
-
B.
Sasha Banks
Sasha Banks is a highly acclaimed professional wrestler best known for her influential run in WWE, where she became a multi-time women's champion and a pioneer of the women's wrestling revolution.
-
C.
Tracy di Vicenzo
Tracy di Vicenzo is a central James Bond heroine best known as the woman James Bond marries in the film "On Her Majesty's Secret Service."
-
D.
Jasmine Crockett
Jasmine Crockett is an American Democratic politician and attorney serving in the U.S. House of Representatives from Texas.
-
E.
Kaitlyn Black
Kaitlyn Black is an American actress best known for her role as Annabeth Nass on the television series "Hart of Dixie."
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6f57fc8190a5f50028792ac394 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.