Triple

T23349139
Position Surface form Disambiguated ID Type / Status
Subject Bill Finger E591957 entity
Predicate notableWork P4 FINISHED
Object Green Lantern 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: Green Lantern | Statement: [Bill Finger, notableWork, Green Lantern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Lantern
Context triple: [Bill Finger, notableWork, 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. Green Lantern
    Green Lantern is an American hip-hop DJ and producer known for his influential mixtapes and collaborations with prominent rap artists.
  • D. Green Lantern: First Flight
    Green Lantern: First Flight is a 2009 animated superhero film from DC Universe Animated Original Movies that explores Hal Jordan’s origin and early adventures as the Green Lantern of Earth.
  • E. Green Lantern Honor Guard
    The Green Lantern Honor Guard is an elite division within the Green Lantern Corps composed of its most distinguished members, tasked with high-priority missions and safeguarding the Corps itself.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.