Triple
T14642828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus |
E343767
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Gus-Gus
Gus-Gus is the lovable, chubby little mouse from Disney’s Cinderella known for his clumsiness, big heart, and comic relief.
|
E1113794
|
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: Gus-Gus | Statement: [Gus, alternateName, Gus-Gus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gus-Gus Context triple: [Gus, alternateName, Gus-Gus]
-
A.
Gopchik
Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
-
B.
Gus Goose
Gus Goose is a Disney cartoon character best known as Donald Duck’s lazy, gluttonous cousin who frequently appears in comedic stories set in Duckburg.
-
C.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
D.
Gus
Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
-
E.
Gus
Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
- 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: Gus-Gus Triple: [Gus, alternateName, Gus-Gus]
Generated description
Gus-Gus is the lovable, chubby little mouse from Disney’s Cinderella known for his clumsiness, big heart, and comic relief.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gus-Gus Target entity description: Gus-Gus is the lovable, chubby little mouse from Disney’s Cinderella known for his clumsiness, big heart, and comic relief.
-
A.
Gopchik
Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
-
B.
Gus Goose
Gus Goose is a Disney cartoon character best known as Donald Duck’s lazy, gluttonous cousin who frequently appears in comedic stories set in Duckburg.
-
C.
Gus
Gus is one of the two hitmen at the center of Harold Pinter’s play "The Dumb Waiter," known for his anxious, questioning nature and tense exchanges in the basement setting.
-
D.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
E.
Gus
Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde170d4a0819087caeacf39f95954 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde580a8cc8190b5480271b1a06f4d |
completed | May 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde68f4ee08190b1ee18eaa390a8ff |
completed | May 8, 2026, 1:35 p.m. |
Created at: April 10, 2026, 1:26 a.m.