Triple
T9268352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principal Benjamin Krupp |
E222757
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Mr. Krupp |
E490732
|
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: Mr. Krupp | Statement: [Principal Benjamin Krupp, hasAlias, Mr. Krupp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Krupp Context triple: [Principal Benjamin Krupp, hasAlias, Mr. Krupp]
-
A.
Mr. Krupp
chosen
Mr. Krupp is the grumpy elementary school principal who unknowingly transforms into the goofy superhero Captain Underpants in Dav Pilkey’s children’s book series.
-
B.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
-
C.
Hans Klopek
Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
-
D.
Mr. Jaeckel
Mr. Jaeckel is a supporting character allied with the protagonist in Charlie Chaplin’s film "The Great Dictator."
-
E.
Mr. Fischoeder
Mr. Fischoeder is the eccentric, wealthy, and eyepatch-wearing landlord of the Belcher family in the animated TV series "Bob's Burgers."
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074d2d0081909f9f8db04547358e |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c743c76c8190b39cfe25c6ab1db2 |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:33 p.m.