Triple

T579436
Position Surface form Disambiguated ID Type / Status
Subject Norse mythology E15025 entity
Predicate hasDeity P5606 FINISHED
Object Frigg
Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
E74275 NE FINISHED

How this triple was built (4 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: Frigg | Statement: [Norse mythology, hasDeity, Frigg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frigg
Context triple: [Norse mythology, hasDeity, Frigg]
  • A. Freyja
    Freyja is a major Norse goddess associated with love, beauty, fertility, magic, and war, often depicted as a powerful and independent figure who rides a chariot drawn by cats.
  • B. Freyr
    Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
  • C. Baldr
    Baldr is a radiant and beloved Norse god associated with light, purity, and beauty, whose death is a central and tragic event in Norse mythology.
  • D. Odin
    Odin is the chief god in Norse mythology, associated with wisdom, war, poetry, and magic, and revered as the ruler of Asgard and the Aesir gods.
  • E. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frigg
Triple: [Norse mythology, hasDeity, Frigg]
Generated description
Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frigg
Target entity description: Frigg is the Norse goddess of marriage, motherhood, and foreknowledge, and the wife of the chief god Odin.
  • A. Freyja
    Freyja is a major Norse goddess associated with love, beauty, fertility, magic, and war, often depicted as a powerful and independent figure who rides a chariot drawn by cats.
  • B. Freyr
    Freyr is a major Norse god associated with fertility, prosperity, sunshine, and fair weather, often revered as a bringer of peace and good harvests.
  • C. Baldr
    Baldr is a radiant and beloved Norse god associated with light, purity, and beauty, whose death is a central and tragic event in Norse mythology.
  • D. Odin
    Odin is the chief god in Norse mythology, associated with wisdom, war, poetry, and magic, and revered as the ruler of Asgard and the Aesir gods.
  • E. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • F. None of above. chosen

Provenance (5 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b6c358081908f458b9e3e208c0d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c44ef0819088048289ed31246f completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5194215848190874442451c32a10b completed March 2, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a519d2e46881909d00ff279bd4a13e completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:33 p.m.