Triple
T8441293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley Quinn |
E199356
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Paul Dini |
E403890
|
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: Paul Dini | Statement: [Harley Quinn, creator, Paul Dini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Dini Context triple: [Harley Quinn, creator, Paul Dini]
-
A.
Paul Dini
chosen
Paul Dini is an American writer and producer best known for his influential work on Batman: The Animated Series and for co-creating the character Harley Quinn.
-
B.
Marv Wolfman
Marv Wolfman is an American comic book writer best known for his influential work at DC Comics, including co-creating the New Teen Titans and characters such as Cyborg and Deathstroke.
-
C.
Michael Jan Friedman
Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
-
D.
Chuck Dixon
Chuck Dixon is an American comic book writer best known for his prolific work at DC Comics, particularly on Batman-related titles and co-creating the villain Bane.
-
E.
Kurt Busiek
Kurt Busiek is an American comic book writer best known for works like "Marvels" and "Astro City," acclaimed for his character-driven storytelling and deep knowledge of superhero history.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9ab3a88190ada7741cf054fc1b |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.