Triple
T5949190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Prepon |
E132354
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Prepon
Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
|
E559600
|
NE FINISHED |
How this triple was built (4 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.
Provatas
Provatas is a popular sandy beach on the Greek island of Milos, known for its calm waters and family-friendly atmosphere.
-
B.
Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
-
C.
Aspropotamos
Aspropotamos is the Greek name for the Acheloos River, one of the longest and most historically significant rivers in western Greece.
-
D.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
-
E.
Palookas
"Palookas" is a track from Talib Kweli's album "Gutter Rainbows," showcasing his lyrically driven, socially conscious hip-hop style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prepon Triple: [Laura Prepon, familyName, Prepon]
Generated description
Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prepon Target entity description: Prepon is the surname of American actress Laura Prepon, best known for her roles in "That '70s Show" and "Orange Is the New Black."
-
A.
Provatas
Provatas is a popular sandy beach on the Greek island of Milos, known for its calm waters and family-friendly atmosphere.
-
B.
Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
-
C.
Aspropotamos
Aspropotamos is the Greek name for the Acheloos River, one of the longest and most historically significant rivers in western Greece.
-
D.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
-
E.
Palookas
"Palookas" is a track from Talib Kweli's album "Gutter Rainbows," showcasing his lyrically driven, socially conscious hip-hop style.
- F. None of above. chosen
Provenance (5 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_69c0e3c4120c8190bab97f91a7bc7030 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f66f787c81909f76556d8e688a9a |
completed | March 23, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f73744b08190b82c538fa723c42a |
completed | March 23, 2026, 8:17 a.m. |
Created at: March 22, 2026, 4:02 p.m.