Triple
T13564879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's the Great Pumpkin, Charlie Brown |
E324007
|
entity |
| Predicate | voiceCastIncludes |
P55263
|
FINISHED |
| Object | Sally Dryer |
E1082146
|
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: Sally Dryer | Statement: [It's the Great Pumpkin, Charlie Brown, voiceCastIncludes, Sally Dryer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Dryer Context triple: [It's the Great Pumpkin, Charlie Brown, voiceCastIncludes, Sally Dryer]
-
A.
Sally Dryer
chosen
Sally Dryer is an American former child voice actress best known for voicing characters such as Violet and Lucy in the classic Peanuts animated specials of the 1960s.
-
B.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
-
C.
Sally Halford
Sally Halford is the first wife of the late Canadian politician and former New Democratic Party leader Jack Layton.
-
D.
Sue Bayliss
Sue Bayliss is a supporting character in Arthur Miller’s play "All My Sons," depicted as a cynical, practical neighbor whose attitudes contrast with the idealism of other characters.
-
E.
Sally Bongers
Sally Bongers is a cinematographer known for her work on film and television productions, including the project "Sweetie."
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:47 p.m.