Triple
T12183359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar the Grouch |
E290272
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object |
Ernie
Ernie is a cheerful, orange-nosed Muppet from Sesame Street known for his playful personality and close friendship with his roommate Bert.
|
E242590
|
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: Ernie | Statement: [Oscar the Grouch, hasNeighbor, Ernie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernie Context triple: [Oscar the Grouch, hasNeighbor, Ernie]
-
A.
Ernie
Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
-
B.
Ernie Krinklesac
Ernie Krinklesac is a minor character from the animated TV series "The Cleveland Show," known as the son of Lester Krinklesac.
-
C.
Ernie Klump Jr.
Ernie Klump Jr. is a character in "The Nutty Professor" film series, depicted as a member of the eccentric Klump family.
-
D.
Cliff Hare
Cliff Hare was an influential Auburn University figure and longtime trustee whose contributions to the school's athletics led to his name being honored on Jordan–Hare Stadium.
-
E.
Bert
Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
- 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: Ernie Triple: [Oscar the Grouch, hasNeighbor, Ernie]
Generated description
Ernie is a cheerful, orange-nosed Muppet from Sesame Street known for his playful personality and close friendship with his roommate Bert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ernie Target entity description: Ernie is a cheerful, orange-nosed Muppet from Sesame Street known for his playful personality and close friendship with his roommate Bert.
-
A.
Ernie
chosen
Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
-
B.
Ernie Krinklesac
Ernie Krinklesac is a minor character from the animated TV series "The Cleveland Show," known as the son of Lester Krinklesac.
-
C.
Ernie Klump Jr.
Ernie Klump Jr. is a character in "The Nutty Professor" film series, depicted as a member of the eccentric Klump family.
-
D.
Cliff Hare
Cliff Hare was an influential Auburn University figure and longtime trustee whose contributions to the school's athletics led to his name being honored on Jordan–Hare Stadium.
-
E.
Bert
Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e505fc481909cdd2dabcef8d948 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f62260d6708190808e52935a27e2c1 |
completed | May 2, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6230f4c8081908a759efa43b4800b |
completed | May 2, 2026, 4:15 p.m. |
Created at: April 8, 2026, 9:50 p.m.