Triple
T7530462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesame Place |
E178008
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ernie |
E242590
|
NE FINISHED |
How this triple was built (2 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: [Sesame Place, hasCharacter, Ernie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernie Context triple: [Sesame Place, hasCharacter, Ernie]
-
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 Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8463e08ac8190abd4d19b58067233 |
completed | March 28, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.