Triple

T9781381
Position Surface form Disambiguated ID Type / Status
Subject Arrowverse E237380 entity
Predicate createdBy P806 FINISHED
Object Marc Guggenheim E600899 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: Marc Guggenheim | Statement: [Arrowverse, createdBy, Marc Guggenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Guggenheim
Context triple: [Arrowverse, createdBy, Marc Guggenheim]
  • A. Marc Guggenheim chosen
    Marc Guggenheim is an American television producer, screenwriter, and comic book writer best known for co-creating and showrunning the superhero TV series "Arrow."
  • B. Roberto Aguirre-Sacasa
    Roberto Aguirre-Sacasa is an American playwright, screenwriter, and comic book writer best known for his work on Archie Comics properties and for developing several television series.
  • C. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • D. Scott Schwartz
    Scott Schwartz is an American former child actor best known for his roles in the films "The Toy" and "A Christmas Story."
  • E. David S. Goyer
    David S. Goyer is an American screenwriter, director, and producer best known for his work on major superhero films such as Christopher Nolan’s Batman trilogy and the Blade series.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.