Triple
T16098391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch |
E390545
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Alexandra Paul |
E875879
|
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: Alexandra Paul | Statement: [Baywatch, stars, Alexandra Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Paul Context triple: [Baywatch, stars, Alexandra Paul]
-
A.
Alexandra Paul
chosen
Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
-
B.
Ava Alexander
Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
-
C.
Alexandra Richards
Alexandra Richards is an American model and artist, best known as the daughter of Rolling Stones guitarist Keith Richards and actress Patti Hansen.
-
D.
Alexandra Rubenstein
Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
-
E.
Alexandra Cunningham
Alexandra Cunningham is an American television writer and producer best known for her work on series such as "Desperate Housewives" and for creating the crime drama "Dirty John."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9b3e708190be822f7ed588c9da |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.