Triple
T2139793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 2 |
E46735
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
|
E243742
|
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: Rita Hsiao | Statement: [Toy Story 2, writer, Rita Hsiao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Hsiao Context triple: [Toy Story 2, writer, Rita Hsiao]
-
A.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
B.
Lila Lee
Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
-
C.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
-
D.
Wilma Pang
Wilma Pang is a San Francisco community activist and perennial local political candidate known for her involvement in city elections and advocacy on neighborhood issues.
-
E.
Shirley Lin
Shirley Lin is best known as the mother of former NBA point guard Jeremy Lin, who gained international fame during the "Linsanity" era with the New York Knicks.
- 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: Rita Hsiao Triple: [Toy Story 2, writer, Rita Hsiao]
Generated description
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rita Hsiao Target entity description: Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
A.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
B.
Lila Lee
Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
-
C.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
-
D.
Wilma Pang
Wilma Pang is a San Francisco community activist and perennial local political candidate known for her involvement in city elections and advocacy on neighborhood issues.
-
E.
Shirley Lin
Shirley Lin is best known as the mother of former NBA point guard Jeremy Lin, who gained international fame during the "Linsanity" era with the New York Knicks.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe025d3c81908bcb33a7ff09eae8 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6533c7f081909860c89a2a53ad49 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65bfafec8190adf80379cd5b34f3 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6622b0688190bf90fa04780bbf80 |
completed | March 9, 2026, 6:18 a.m. |
Created at: March 4, 2026, 7:44 p.m.