Triple
T10460471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned Flanders |
E246658
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Todd Flanders |
E865032
|
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: Todd Flanders | Statement: [Ned Flanders, associatedWith, Todd Flanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Flanders Context triple: [Ned Flanders, associatedWith, Todd Flanders]
-
A.
Todd Flanders
chosen
Todd Flanders is the younger, devoutly religious and mild-mannered son of Ned Flanders on the animated television series "The Simpsons."
-
B.
Ned Flanders
Ned Flanders is the overly cheerful, deeply religious next-door neighbor of the Simpson family in the animated television series "The Simpsons."
-
C.
Gene Belcher
Gene Belcher is the loud, goofy, and musically obsessed middle child of the Belcher family on the animated TV series "Bob's Burgers."
-
D.
Steve Stifler
Steve Stifler is a crude, party-loving character from the American Pie film series known for his outrageous behavior and comic relief.
-
E.
Rich Belcher
Rich Belcher is a character from the animated film "Ron's Gone Wrong," depicted as a popular but shallow middle-school influencer whose actions highlight the darker side of social media culture.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50882eb0c8190a4311634b867eab1 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc4fbc3481909b214137f26e243b |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:18 p.m.