Triple
T16098396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baywatch |
E390545
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Nicole Eggert |
E1200999
|
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: Nicole Eggert | Statement: [Baywatch, stars, Nicole Eggert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Eggert Context triple: [Baywatch, stars, Nicole Eggert]
-
A.
Nicole Eggert
chosen
Nicole Eggert is an American actress best known for her role as Summer Quinn on the television series "Baywatch."
-
B.
Nicole Fugere
Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
-
C.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
D.
Megan Fairchild
Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
-
E.
Kristen Dohring
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
- 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_6a000ec4d9808190a3d1bfc8f3d73168 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.