Triple

T16623588
Position Surface form Disambiguated ID Type / Status
Subject Paul Dini E403890 entity
Predicate name P16 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: [Paul Dini, name, Paul Dini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Dini
Context triple: [Paul Dini, name, 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. John Ostrander
    John Ostrander is an American comic book writer best known for his influential work at DC Comics, including redefining the Suicide Squad and its characters.
  • C. 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.
  • D. J. M. DeMatteis
    J. M. DeMatteis is an American comic book writer known for his character-driven stories and influential runs on titles such as Justice League International, Spider-Man, and Moonshadow.
  • E. Michael Jan Friedman
    Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.