Triple

T4506738
Position Surface form Disambiguated ID Type / Status
Subject DC Universe E101347 entity
Predicate hasFictionalCharacter P15645 FINISHED
Object Brainiac E447838 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: Brainiac | Statement: [DC Universe, hasFictionalCharacter, Brainiac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brainiac
Context triple: [DC Universe, hasFictionalCharacter, Brainiac]
  • A. Brainiac chosen
    Brainiac is a highly intelligent and malevolent alien android in DC Comics, known for shrinking and collecting cities and serving as one of Superman’s most formidable foes.
  • B. John Battsek
    John Battsek is a British film producer renowned for his work on acclaimed feature documentaries and sports-related non-fiction films.
  • C. Johnny Wadd
    Johnny Wadd is the fictional hardboiled detective character famously portrayed by adult film actor John Holmes in a series of 1970s pornographic films.
  • D. Scarecrow
    Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
  • E. Hal Jordan
    Hal Jordan is a DC Comics superhero best known as the most iconic Green Lantern, a fearless test pilot chosen by a power ring to serve in the intergalactic Green Lantern Corps.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f760658819085ca8c631894b486 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.