Triple

T4618459
Position Surface form Disambiguated ID Type / Status
Subject Eris E100922 entity
Predicate offspring P980 FINISHED
Object Dysnomia E106309 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: Dysnomia | Statement: [Eris, offspring, Dysnomia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dysnomia
Context triple: [Eris, offspring, Dysnomia]
  • A. Dysnomia chosen
    Dysnomia is the small natural satellite of the distant dwarf planet Eris in the outer Solar System.
  • B. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • C. Ananke
    Ananke is the ancient Greek personification of inevitability, compulsion, and necessity, often regarded as a primordial force that even the gods must obey.
  • D. Pallas
    Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
  • E. Pallas
    Pallas is a figure from Greek mythology, often identified as a Titan associated with war and sometimes linked to Athena’s epithet “Pallas.”
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59e247448190ad92f194cb1127c5 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa916f4c8190a53bb37ff46ed0b5 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.