Triple
T11541538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Extreme Skate Adventure |
E273686
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Jessie
Jessie is a cowgirl doll character from Disney·Pixar's Toy Story franchise, known for her energetic personality and close friendship with Woody and Buzz Lightyear.
|
E237529
|
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: Jessie | Statement: [Disney's Extreme Skate Adventure, featuresCharacter, Jessie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Context triple: [Disney's Extreme Skate Adventure, featuresCharacter, Jessie]
-
A.
Jessie
Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
-
B.
Jessie
Jessie is a person whose full name is Jessie Oriana Huxley.
-
C.
Jessie
Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
-
D.
Jessie
Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
-
E.
Jessie
Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
- 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: Jessie Triple: [Disney's Extreme Skate Adventure, featuresCharacter, Jessie]
Generated description
Jessie is a cowgirl doll character from Disney·Pixar's Toy Story franchise, known for her energetic personality and close friendship with Woody and Buzz Lightyear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessie Target entity description: Jessie is a cowgirl doll character from Disney·Pixar's Toy Story franchise, known for her energetic personality and close friendship with Woody and Buzz Lightyear.
-
A.
Jessie
chosen
Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
-
B.
Jessie
Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
-
C.
Jessie
Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
-
D.
Jessie
Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
-
E.
Jessie
Jessie is a person whose full name is Jessie Oriana Huxley.
- F. None of above.
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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685ab77908190ac5d59cf2b8c96bf |
completed | April 20, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_69e68fd8dcf08190b9e0cc7f868cb6a0 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6c10910548190b863e6f4a9a81ac3 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.