Triple
T2142822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story 3 |
E46998
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Slinky Dog
Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
|
E238845
|
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: Slinky Dog | Statement: [Toy Story 3, mainCharacter, Slinky Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slinky Dog Context triple: [Toy Story 3, mainCharacter, Slinky Dog]
-
A.
Slinky Dog Dash
Slinky Dog Dash is a family-friendly launched roller coaster in Toy Story Land themed around Slinky Dog from Pixar’s Toy Story films.
-
B.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
-
C.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
D.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
E.
Doggie Julian
Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
- 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: Slinky Dog Triple: [Toy Story 3, mainCharacter, Slinky Dog]
Generated description
Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slinky Dog Target entity description: Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
-
A.
Slinky Dog Dash
Slinky Dog Dash is a family-friendly launched roller coaster in Toy Story Land themed around Slinky Dog from Pixar’s Toy Story films.
-
B.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
-
C.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
D.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
E.
Doggie Julian
Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d5535c8190b59293afe3a10834 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae597198b88190b0253aa121ed35e1 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a02404c819088acf7c592cb2cae |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:44 p.m.