Triple
T2830453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio |
E62222
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Linda Gunderson
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
|
E525691
|
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: Linda Gunderson | Statement: [Rio, mainCharacter, Linda Gunderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Gunderson Context triple: [Rio, mainCharacter, Linda Gunderson]
-
A.
Karen Gunderson
Karen Gunderson is an American singer best known as a member of the folk music group The New Christy Minstrels.
-
B.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
C.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
D.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
E.
Linda Stephens
Linda Stephens is an American local official who served as a plaintiff challenging legislative prayer practices in the U.S. Supreme Court case Town of Greece v. Galloway.
- 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: Linda Gunderson Triple: [Rio, mainCharacter, Linda Gunderson]
Generated description
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Gunderson Target entity description: Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
-
A.
Karen Gunderson
Karen Gunderson is an American singer best known as a member of the folk music group The New Christy Minstrels.
-
B.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
C.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
D.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
E.
Linda Stephens
Linda Stephens is an American local official who served as a plaintiff challenging legislative prayer practices in the U.S. Supreme Court case Town of Greece v. Galloway.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf9ac44d688190ac6307d26a89e238 |
completed | March 22, 2026, 7:31 a.m. |
| NEDg | Description generation | batch_69bf9b3db560819089847c1ded2b119b |
completed | March 22, 2026, 7:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf9c26188c8190a740fb58ac7b1e6a |
completed | March 22, 2026, 7:37 a.m. |
Created at: March 6, 2026, 10:01 p.m.