Triple

T19539850
Position Surface form Disambiguated ID Type / Status
Subject Martin Nodell E488868 entity
Predicate notableCharacterCreated P9708 FINISHED
Object Alan Scott 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: Alan Scott | Statement: [Martin Nodell, notableCharacterCreated, Alan Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Scott
Context triple: [Martin Nodell, notableCharacterCreated, Alan Scott]
  • A. Alan Scott chosen
    Alan Scott is the original Golden Age Green Lantern, a DC Comics superhero who wields a mystical power ring and lantern.
  • B. Jay Garrick
    Jay Garrick is the original Flash, a Golden Age DC Comics superhero known for his super-speed and founding role in early superhero teams.
  • C. Kyle "Gaz" Garrick
    Kyle "Gaz" Garrick is a British special forces operator and key member of Task Force 141 in the Call of Duty: Modern Warfare series, known for his tactical expertise and close partnership with Captain Price.
  • D. Wesley Dodds
    Wesley Dodds is a DC Comics superhero best known as the original Sandman, a gas-mask-wearing crimefighter and founding member of the Justice Society of America.
  • E. Jonathan Prince
    Jonathan Prince is an American television and film producer, writer, and director best known for creating and producing series such as "American Dreams."
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63871d00881909ed7371ae5577957 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.