Triple
T2461772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despicable Me |
E54548
|
entity |
| Predicate | hasShortFilm |
P17145
|
FINISHED |
| Object |
Puppy
Puppy is an animated short film set in the Despicable Me universe, focusing on a humorous and heartwarming adventure involving the Minions.
|
E268567
|
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: Puppy | Statement: [Despicable Me, hasShortFilm, Puppy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puppy Context triple: [Despicable Me, hasShortFilm, Puppy]
-
A.
Puppy
Puppy is a monumental topiary sculpture of a West Highland White Terrier by American artist Jeff Koons, covered in flowering plants and installed outside the Guggenheim Museum Bilbao.
-
B.
Young Animal
Young Animal is a DC Comics imprint curated by Gerard Way that focuses on experimental, offbeat, and mature-themed superhero titles.
-
C.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
D.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
E.
Alpha Dog
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
- 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: Puppy Triple: [Despicable Me, hasShortFilm, Puppy]
Generated description
Puppy is an animated short film set in the Despicable Me universe, focusing on a humorous and heartwarming adventure involving the Minions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puppy Target entity description: Puppy is an animated short film set in the Despicable Me universe, focusing on a humorous and heartwarming adventure involving the Minions.
-
A.
Puppy
Puppy is a monumental topiary sculpture of a West Highland White Terrier by American artist Jeff Koons, covered in flowering plants and installed outside the Guggenheim Museum Bilbao.
-
B.
Young Animal
Young Animal is a DC Comics imprint curated by Gerard Way that focuses on experimental, offbeat, and mature-themed superhero titles.
-
C.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
D.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
E.
Alpha Dog
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd82f2020819086bbd321a750ce43 |
completed | March 7, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef3f1fb9481909748308457e6e3df |
completed | March 9, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8398fd08190821e9503c01af80a |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.