Triple
T16554409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiler family |
E402155
|
entity |
| Predicate | hasNotableAnimal |
P13551
|
FINISHED |
| Object |
Uga V
Uga V was a beloved English Bulldog who served as the live mascot of the University of Georgia Bulldogs football team.
|
E1219672
|
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: Uga V | Statement: [Seiler family, hasNotableAnimal, Uga V]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uga V Context triple: [Seiler family, hasNotableAnimal, Uga V]
-
A.
Uga X
Uga X is the current live bulldog mascot of the University of Georgia, continuing the long-running Uga mascot lineage for the school's athletic teams.
-
B.
Ug
Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Uyugan
Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
-
D.
Ugo
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
E.
Gugo
Gugo is the nickname of a person named Guglielmo, likely used informally by friends or family.
- 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: Uga V Triple: [Seiler family, hasNotableAnimal, Uga V]
Generated description
Uga V was a beloved English Bulldog who served as the live mascot of the University of Georgia Bulldogs football team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uga V Target entity description: Uga V was a beloved English Bulldog who served as the live mascot of the University of Georgia Bulldogs football team.
-
A.
Uga X
Uga X is the current live bulldog mascot of the University of Georgia, continuing the long-running Uga mascot lineage for the school's athletic teams.
-
B.
Ug
Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
-
C.
Uyugan
Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
-
D.
Ugo
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
E.
Gugo
Gugo is the nickname of a person named Guglielmo, likely used informally by friends or family.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ba4bec81909dfa87bcd2bfa7be |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00693d373c8190b086f81792491ea0 |
completed | May 10, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0069c89d908190ba028063d6945647 |
completed | May 10, 2026, 11:19 a.m. |
Created at: April 10, 2026, 5:15 a.m.