Triple
T5949188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Prepon |
E132354
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Laura Prepon |
E132354
|
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: Laura Prepon | Statement: [Laura Prepon, name, Laura Prepon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Prepon Context triple: [Laura Prepon, name, Laura Prepon]
-
A.
Laura Prepon
chosen
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
-
B.
Rachel Bilson
Rachel Bilson is an American actress best known for her television roles, including starring in the series "The O.C." and other popular TV dramas and comedies.
-
C.
Ariel Winter
Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
-
D.
Emma Roberts
Emma Roberts is an American actress and singer known for her roles in films like "Nancy Drew" and TV series such as "American Horror Story" and "Scream Queens."
-
E.
Sophia Bush
Sophia Bush is an American actress, activist, and entrepreneur best known for her role on the television series "One Tree Hill" and her extensive work in social and political advocacy.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397deea08190b9397d0413740300 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135303bc81909f78f6d8d39c7de6 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 4:02 p.m.