Triple

T20466973
Position Surface form Disambiguated ID Type / Status
Subject Nemesis E502076 entity
Predicate alsoKnownAs P39 FINISHED
Object Nemesis-T Type 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: Nemesis-T Type | Statement: [Nemesis, alsoKnownAs, Nemesis-T Type]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nemesis-T Type
Context triple: [Nemesis, alsoKnownAs, Nemesis-T Type]
  • A. Nemesis System chosen
    The Nemesis System is a dynamic game mechanic that tracks and evolves enemy characters based on their interactions with the player, creating personalized rivalries and emergent narratives.
  • B. Nemesis
    Nemesis is the Greek goddess of retribution and divine justice, known for punishing hubris and restoring moral balance.
  • C. Nemesis
    Nemesis is a psychological suspense novel by Joyce Carol Oates, published under her pseudonym Rosamond Smith, that explores themes of obsession, guilt, and moral ambiguity.
  • D. Nemesis
    Nemesis is a towering, bioengineered monster from the Resident Evil franchise, known for relentlessly hunting survivors with heavy weaponry and near-invulnerable strength.
  • E. Nemesis
    Nemesis is a creator-owned comic book series by Mark Millar that follows a brilliant, sadistic supervillain who wages war on law enforcement.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.