Triple

T11049172
Position Surface form Disambiguated ID Type / Status
Subject Stinker E261201 entity
Predicate inUniverseAlignmentOfReferent P97513 FINISHED
Object corrupted by the One Ring LITERAL 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: corrupted by the One Ring | Statement: [Stinker, inUniverseAlignmentOfReferent, corrupted by the One Ring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inUniverseAlignmentOfReferent
Context triple: [Stinker, inUniverseAlignmentOfReferent, corrupted by the One Ring]
  • A. inUniverseAliasOf
    Indicates that one entity is an alternative name or alias used for another entity within the same fictional universe or continuity.
  • B. inUniverseLocationType
    Indicates the type or category of location that something occupies within a fictional or defined universe or setting.
  • C. hasRealmOfReferent
    Indicates that something is associated with, or pertains to, a particular realm, domain, or scope of reference.
  • D. inUniverseType
    Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
  • E. followsAlignmentOf
    Indicates that one entity adopts or conforms to the alignment, orientation, or positioning established by another entity.
  • F. None of above. chosen

Provenance (4 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79867fa28819094f564273e3ef51d completed April 9, 2026, 12:15 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.