Triple
T8484143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Charlie Brown Christmas |
E200791
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Shermy |
E322348
|
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: Shermy | Statement: [A Charlie Brown Christmas, featuresCharacter, Shermy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shermy Context triple: [A Charlie Brown Christmas, featuresCharacter, Shermy]
-
A.
Shermy
chosen
Shermy is a minor character from the Peanuts comic strip, known as one of Charlie Brown’s early friends in the series.
-
B.
Sammy
Sammy is the official Spartan warrior mascot of San José State University, representing the school’s athletic teams and spirit.
-
C.
Sammy
Sammy is the owl mascot of Rice University, known for representing the school's athletic teams and spirit.
-
D.
Yarmy
Yarmy is the birth surname of American comedian and actor Don Adams, best known for starring as Maxwell Smart in the television series "Get Smart."
-
E.
Corky
Corky is a fictional character known as the central figure in the work "The Artistic Career of Corky," around whom the story’s creative and personal developments revolve.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.