Triple
T5613823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara Wilson |
E147426
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Suzy Wilson
Suzy Wilson is the mother of American former child actress and writer Mara Wilson.
|
E534020
|
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: Suzy Wilson | Statement: [Mara Wilson, parent, Suzy Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzy Wilson Context triple: [Mara Wilson, parent, Suzy Wilson]
-
A.
Sue Wilson
Sue Wilson is a key fictional political aide who serves as the hyper-competent personal assistant and scheduler to Vice President (later President) Selina Meyer on the television series "Veep."
-
B.
Gayle Wilson
Gayle Wilson is an American former First Lady of California, known for her work in education and child advocacy during and after her husband Pete Wilson’s governorship.
-
C.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
D.
Amy Wright
Amy Wright is an American actress known for her character roles in films such as "Breaking Away" and "The Accidental Tourist."
-
E.
Suzy Berhow
Suzy Berhow is an American animator, artist, and YouTube personality best known for her work on Game Grumps–related content and her own channels, such as KittyKatGaming.
- 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: Suzy Wilson Triple: [Mara Wilson, parent, Suzy Wilson]
Generated description
Suzy Wilson is the mother of American former child actress and writer Mara Wilson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzy Wilson Target entity description: Suzy Wilson is the mother of American former child actress and writer Mara Wilson.
-
A.
Sue Wilson
Sue Wilson is a key fictional political aide who serves as the hyper-competent personal assistant and scheduler to Vice President (later President) Selina Meyer on the television series "Veep."
-
B.
Gayle Wilson
Gayle Wilson is an American former First Lady of California, known for her work in education and child advocacy during and after her husband Pete Wilson’s governorship.
-
C.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
D.
Amy Wright
Amy Wright is an American actress known for her character roles in films such as "Breaking Away" and "The Accidental Tourist."
-
E.
Suzy Berhow
Suzy Berhow is an American animator, artist, and YouTube personality best known for her work on Game Grumps–related content and her own channels, such as KittyKatGaming.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021226cf88190b70b4b51eb5b4144 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287b14708190bc246e982896ad27 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03f8c1a3081908f9d03a6c51d69f0 |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404f0a3081908850794f9a5cea40 |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:39 p.m.