Triple
T20820199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bledsoe |
E512554
|
entity |
| Predicate | partnerNicknameFor |
P68532
|
FINISHED |
| Object | Wally |
—
|
NE NERFINISHED |
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: Wally | Statement: [Frank Bledsoe, partnerNicknameFor, Wally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Context triple: [Frank Bledsoe, partnerNicknameFor, Wally]
-
A.
Wally
Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
-
B.
Wally
Wally, better known as Numbuh 4, is a hot-headed, tough but loyal member of the Kids Next Door from the animated series "Codename: Kids Next Door."
-
C.
Wally
Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
-
D.
Wally
Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
-
E.
Wally
Wally is a perpetually lazy, coffee-loving office worker from the "Dilbert" comic strip, known for his extreme apathy and talent for avoiding work.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Target entity description: Wally is the romantic partner of Frank Bledsoe in the film "Uncle Frank."
-
A.
Wally
Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
-
B.
Wally
Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
-
C.
Wally
Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
-
D.
Wally
Wally, better known as Numbuh 4, is a hot-headed, tough but loyal member of the Kids Next Door from the animated series "Codename: Kids Next Door."
-
E.
Wally
Wally is a perpetually lazy, coffee-loving office worker from the "Dilbert" comic strip, known for his extreme apathy and talent for avoiding work.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerNicknameFor Context triple: [Frank Bledsoe, partnerNicknameFor, Wally]
-
A.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
-
B.
partnerInCreation
Indicates that two or more entities collaborated as partners in bringing something into existence or producing it.
-
C.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
D.
partnerNation
Indicates that one entity is recognized as a collaborating or allied nation in relation to another entity.
-
E.
partnerCodename
chosen
Indicates that one entity is associated with another entity through a designated partner-specific codename or alias.
- F. None of above.
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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.