Triple
T23404643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Prepon |
E559600
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Prepon |
—
|
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: Prepon | Statement: [Laura Prepon, familyName, Prepon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prepon Context triple: [Laura Prepon, familyName, Prepon]
-
A.
Prepon
chosen
Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
-
B.
Preed
Preed is a treacherous, smooth-talking alien navigator and secondary antagonist from the animated science fiction film "Titan A.E."
-
C.
Prenteg
Prenteg is a small village in Gwynedd, Wales, situated in the scenic Glaslyn Valley near the river Afon Glaslyn.
-
D.
Provatas
Provatas is a popular sandy beach on the Greek island of Milos, known for its calm waters and family-friendly atmosphere.
-
E.
Prenden
Prenden is a small village in the municipality of Wandlitz in the state of Brandenburg, Germany.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.