Triple

T6627891
Position Surface form Disambiguated ID Type / Status
Subject Arrow E149849 entity
Predicate basedOn P98 FINISHED
Object Green Arrow E149849 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 Arrow | Statement: [Arrow, basedOn, Green Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Arrow
Context triple: [Arrow, basedOn, Green Arrow]
  • A. Nightwing
    Nightwing is the superhero identity of Dick Grayson, the original Robin, who operates independently from Batman as a highly skilled acrobat, detective, and crimefighter.
  • B. Hawkman
    Hawkman is a DC Comics superhero known for his reincarnated warrior origins, Nth metal wings and weaponry, and long-standing membership in teams like the Justice Society of America.
  • C. Arrow
    Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
  • D. Arrow chosen
    Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
  • E. Hourman
    Hourman is a Golden Age DC Comics superhero, best known for gaining superhuman abilities for one hour at a time from the drug Miraclo and serving on teams like the Justice Society of America.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.