Triple
T20453019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Revenge |
E501702
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Maia Reficco
Maia Reficco is an Argentine-American actress and singer best known for her roles in teen-focused television series and films, including Netflix projects.
|
E1431018
|
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: Maia Reficco | Statement: [Do Revenge, castMember, Maia Reficco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Reficco Context triple: [Do Revenge, castMember, Maia Reficco]
-
A.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
-
B.
Maia Thomas
Maia Thomas is an Australian actress known for her work in television and film, and as a relative of actor Ed Oxenbould.
-
C.
Maia Wilson
Maia Wilson is an American singer and actress best known for her work in musical theatre and as a voice performer in film and television.
-
D.
Sophia Marzocchi
Sophia Marzocchi is an actress known for playing Abigail Marston in the video game Red Dead Redemption.
-
E.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
- 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: Maia Reficco Triple: [Do Revenge, castMember, Maia Reficco]
Generated description
Maia Reficco is an Argentine-American actress and singer best known for her roles in teen-focused television series and films, including Netflix projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maia Reficco Target entity description: Maia Reficco is an Argentine-American actress and singer best known for her roles in teen-focused television series and films, including Netflix projects.
-
A.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
-
B.
Maia Thomas
Maia Thomas is an Australian actress known for her work in television and film, and as a relative of actor Ed Oxenbould.
-
C.
Maia Wilson
Maia Wilson is an American singer and actress best known for her work in musical theatre and as a voice performer in film and television.
-
D.
Sophia Marzocchi
Sophia Marzocchi is an actress known for playing Abigail Marston in the video game Red Dead Redemption.
-
E.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08840acbb881909f91f98b5ef793db |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884e34df48190bdd70c346899e9cf |
completed | May 16, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885b207788190b37d0e78277c9dda |
completed | May 16, 2026, 2:56 p.m. |
Created at: April 16, 2026, 11:32 a.m.