Triple
T18859831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erika Slezak |
E461281
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Erika Slezak |
—
|
NE NERFINISHED |
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: Erika Slezak | Statement: [Erika Slezak, name, Erika Slezak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erika Slezak Context triple: [Erika Slezak, name, Erika Slezak]
-
A.
Erika Slezak
chosen
Erika Slezak is an American actress best known for her long-running, acclaimed portrayal of Victoria Lord on the soap opera "One Life to Live."
-
B.
Erika Tymrak
Erika Tymrak is an American professional soccer midfielder known for her playmaking creativity in the National Women's Soccer League and appearances with the United States women's national team.
-
C.
Erika Eleniak
Erika Eleniak is an American actress and former Playboy Playmate best known for her roles in the TV series "Baywatch" and films such as "Under Siege."
-
D.
Jennifer Kluska
Jennifer Kluska is an American film director and storyboard artist best known for her work in animated features, including the Hotel Transylvania franchise.
-
E.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05fb800819098951ec134a1fa2a |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.