Triple

T2681398
Position Surface form Disambiguated ID Type / Status
Subject Lois Lane E56580 entity
Predicate universe P4832 FINISHED
Object DC Universe E101347 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: DC Universe | Statement: [Lois Lane, universe, DC Universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Universe
Context triple: [Lois Lane, universe, DC Universe]
  • A. DC Universe chosen
    The DC Universe is a fictional superhero setting featuring characters like Superman, Batman, and Wonder Woman who coexist and interact across interconnected stories and worlds.
  • B. DC Extended Universe
    The DC Extended Universe is a shared cinematic universe of superhero films and related media based on DC Comics characters, featuring interconnected stories and recurring characters across multiple movies.
  • C. DCU
    DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
  • D. DCU
    DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
  • E. DC Universe Animated Original Movies
    DC Universe Animated Original Movies is a direct-to-video film series adapting various DC Comics storylines into animated feature-length movies.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d4e70c819092f9575feb3955f3 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.