Triple

T17945484
Position Surface form Disambiguated ID Type / Status
Subject Mr. Terrific E448691 entity
Predicate creator P184 FINISHED
Object Charles Reizenstein NE NERFINISHED

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: Charles Reizenstein | Statement: [Mr. Terrific, creator, Charles Reizenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Reizenstein
Context triple: [Mr. Terrific, creator, Charles Reizenstein]
  • A. Charles Reizenstein chosen
    Charles Reizenstein was a comic book writer best known for co-creating the Golden Age DC Comics superhero Doctor Mid-Nite.
  • B. Charles Weinstock
    Charles Weinstock is a film producer best known for his work on the crime thriller movie "Fracture."
  • C. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • D. Edward J. Riegelmann
    Edward J. Riegelmann was a Brooklyn borough president in the early 20th century, best known for championing and overseeing the construction of the Coney Island boardwalk that now bears his name.
  • E. Marvin Duchow
    Marvin Duchow was a Canadian musicologist and influential professor of music at McGill University, known for his scholarship in Renaissance and Baroque music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad990b948190a5e6fd50a15f64e3 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.