Triple
T13036912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eniko Parrish |
E326584
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eniko Parrish |
E326584
|
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: Eniko Parrish | Statement: [Eniko Parrish, name, Eniko Parrish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eniko Parrish Context triple: [Eniko Parrish, name, Eniko Parrish]
-
A.
Eniko Parrish
chosen
Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
-
B.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
C.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
D.
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."
-
E.
Dawn Parouse
Dawn Parouse is an American television producer best known for co-creating and producing crime and drama series such as Prison Break and Breakout Kings.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acb7ee0819093e61c5b8eb7da38 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 8:55 p.m.