Triple

T3988820
Position Surface form Disambiguated ID Type / Status
Subject The Flash (2014 TV series) E86937 entity
Predicate creator P184 FINISHED
Object Geoff Johns E195738 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: Geoff Johns | Statement: [The Flash (2014 TV series), creator, Geoff Johns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoff Johns
Context triple: [The Flash (2014 TV series), creator, Geoff Johns]
  • A. Geoff Johns chosen
    Geoff Johns is a prominent American comic book writer and producer best known for revitalizing major DC Comics characters and serving as a key architect of the modern DC Universe.
  • B. Bruce Timm
    Bruce Timm is an American animator, writer, and producer best known for co-creating the DC Animated Universe, including Batman: The Animated Series.
  • C. Henry Jackman
    Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
  • D. Brian K. Vaughan
    Brian K. Vaughan is an American comic book and television writer best known for acclaimed series such as Saga, Y: The Last Man, and his work on shows like Lost.
  • E. Ed Brubaker
    Ed Brubaker is an American comic book writer best known for his acclaimed runs on titles like Captain America, Daredevil, and Criminal, where he revitalized characters through noir-influenced, character-driven storytelling.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa007344819099515fda367f7016 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403235408190b47b8d4f4e21d094 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.