Triple

T16622535
Position Surface form Disambiguated ID Type / Status
Subject Greg Berlanti E403867 entity
Predicate notableWork P4 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: [Greg Berlanti, notableWork, Green Lantern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Lantern
Context triple: [Greg Berlanti, 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 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.
  • E. Red Lantern Corps
    The Red Lantern Corps is a fictional intergalactic organization in DC Comics whose rage-fueled members wield red power rings powered by the emotional spectrum.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db4a9288190aea7db58bb379404 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.