Triple

T34161855
Position Surface form Disambiguated ID Type / Status
Subject Suttungr E876298 entity
Predicate employsGuardian P28704 FINISHED
Object Gunnlöð 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: Gunnlöð | Statement: [Suttungr, employsGuardian, Gunnlöð]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employsGuardian
Context triple: [Suttungr, employsGuardian, Gunnlöð]
  • A. guardian chosen
    Indicates a protective or custodial relationship in which one entity is responsible for the care, safety, or oversight of another.
  • B. employsSystem
    Indicates that one entity makes use of or operates a particular system to perform its functions or activities.
  • C. employsOrEmployed
    Indicates that one entity currently employs or previously employed another entity in a work or service relationship.
  • D. employedIncognito
    Indicates that one entity is working for or employed by another while deliberately concealing their true identity or role.
  • E. employedUnder
    Indicates that one entity works as an employee under the authority, supervision, or organizational structure of another entity.
  • F. None of above.

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_69f349ac987481908a8e6053f665bc8b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: May 1, 2026, 1:54 a.m.