Triple
T3777055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAW Patrol: The Movie |
E83332
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
|
E502721
|
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: Toni Stevens | Statement: [PAW Patrol: The Movie, producer, Toni Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Stevens Context triple: [PAW Patrol: The Movie, producer, Toni Stevens]
-
A.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
B.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
-
C.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
D.
Kathryn Stevens
Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
E.
Cynthia Stevenson
Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
- 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: Toni Stevens Triple: [PAW Patrol: The Movie, producer, Toni Stevens]
Generated description
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Stevens Target entity description: Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
A.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
B.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
-
C.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
D.
Kathryn Stevens
Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
E.
Cynthia Stevenson
Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef70e6048190b0e5659a59634d5d |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef031c0e881908a4a427788db618f |
completed | March 21, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef086d9d08190813cd1bd8fdec5d3 |
completed | March 21, 2026, 7:24 p.m. |
Created at: March 8, 2026, 3:36 p.m.