Triple

T4901508
Position Surface form Disambiguated ID Type / Status
Subject Neal Adams E109807 entity
Predicate workedOnCharacter P60552 FINISHED
Object Green Lantern E101339 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: Green Lantern | Statement: [Neal Adams, workedOnCharacter, Green Lantern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Lantern
Context triple: [Neal Adams, workedOnCharacter, Green Lantern]
  • A. Green Lantern chosen
    Green Lantern is a long-running DC Comics superhero franchise centered on intergalactic peacekeepers who wield power rings fueled by willpower.
  • B. Green Lantern
    Green Lantern is a stand-up steel roller coaster at Six Flags Great Adventure themed after the DC Comics superhero.
  • C. Mister Miracle
    Mister Miracle is a DC Comics superhero and master escape artist created by Jack Kirby as part of his Fourth World saga.
  • D. Guardian of the Universe
    Guardian of the Universe is an epithet for Gamera, the giant flying turtle kaiju from Japanese films who protects humanity from monstrous threats.
  • E. The Peacemaker
    The Peacemaker is the legendary spiritual leader credited with uniting the Haudenosaunee (Iroquois) nations under the Great Law of Peace.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fd2a0348190a285ea1a62e7ae1b completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.