Triple
T9741564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixels |
E236196
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ashley Benson
Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
|
E821974
|
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: Ashley Benson | Statement: [Pixels, starring, Ashley Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Benson Context triple: [Pixels, starring, Ashley Benson]
-
A.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
B.
Ashley Jensen
Ashley Jensen is a Scottish actress and narrator known for her roles in television series such as "Extras," "Ugly Betty," and "Agatha Raisin," as well as various film and voice performances.
-
C.
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.
-
D.
Laura Prepon
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
-
E.
Ariel Winter
Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
- 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: Ashley Benson Triple: [Pixels, starring, Ashley Benson]
Generated description
Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashley Benson Target entity description: Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
-
A.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
B.
Ashley Jensen
Ashley Jensen is a Scottish actress and narrator known for her roles in television series such as "Extras," "Ugly Betty," and "Agatha Raisin," as well as various film and voice performances.
-
C.
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.
-
D.
Laura Prepon
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
-
E.
Ariel Winter
Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c40b0db081908b956484e3ff44c0 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c7bfda588190ae5432f4c20968c7 |
completed | April 5, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c811129481909c383caae1c5969b |
completed | April 5, 2026, 2:25 a.m. |
Created at: March 30, 2026, 8:23 p.m.