Triple
T7644517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fixer Upper |
E173087
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
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.
|
E680590
|
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 Wilson | Statement: [Fixer Upper, performer, Maia Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Wilson Context triple: [Fixer Upper, performer, Maia Wilson]
-
A.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
B.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
-
C.
Maya Forbes
Maya Forbes is an American screenwriter, director, and producer known for films such as "Infinitely Polar Bear" and for her work on television series like "The Larry Sanders Show."
-
D.
Mia Tyler
Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
-
E.
Ellie Wood
Ellie Wood is a film producer best known for her work on the British historical drama "The Dig."
- 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 Wilson Triple: [Fixer Upper, performer, Maia Wilson]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maia Wilson Target entity description: 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.
-
A.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
B.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
-
C.
Maya Forbes
Maya Forbes is an American screenwriter, director, and producer known for films such as "Infinitely Polar Bear" and for her work on television series like "The Larry Sanders Show."
-
D.
Mia Tyler
Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
-
E.
Ellie Wood
Ellie Wood is a film producer best known for her work on the British historical drama "The Dig."
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21878508190822ff6f4681bc63d |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a2bc757c81909416e06cc53150ca |
completed | March 29, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a35d59d48190b486b4405d428469 |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 3:58 p.m.