Triple
T9268368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Poopypants |
E222758
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Dav Pilkey |
E490731
|
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: Dav Pilkey | Statement: [Professor Poopypants, creator, Dav Pilkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dav Pilkey Context triple: [Professor Poopypants, creator, Dav Pilkey]
-
A.
Dav Pilkey
chosen
Dav Pilkey is an American author and illustrator best known for creating the popular children's book series "Captain Underpants" and "Dog Man."
-
B.
Mel Horowitz
Mel Horowitz is a character from the film and TV series "Clueless," known as Cher's overprotective but caring father and a successful lawyer.
-
C.
R. L. Stine
R. L. Stine is an American author best known for creating the popular children's horror book series "Goosebumps."
-
D.
Bill Watterson
Bill Watterson is an American cartoonist best known as the creator of the influential comic strip "Calvin and Hobbes."
-
E.
Jeff Kinney
Jeff Kinney is an American author and cartoonist best known for creating the popular children's book series "Diary of a Wimpy Kid."
- 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_69d0e361a00881909b431dba0db978fd |
completed | April 4, 2026, 10:09 a.m. |
Created at: March 30, 2026, 7:33 p.m.