Triple

T10627155
Position Surface form Disambiguated ID Type / Status
Subject Freki E250352 entity
Predicate relatedMythicAnimal P54770 FINISHED
Object Hati
Hati is a wolf from Norse mythology, often depicted as a cosmic predator that chases the moon across the sky and is prophesied to devour it during Ragnarök.
 E876308 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: Hati | Statement: [Freki, relatedMythicAnimal, Hati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hati
Context triple: [Freki, relatedMythicAnimal, Hati]
  • A. Haamene
    Haamene is the principal village and administrative center on the island of Taha'a in French Polynesia.
  • B. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • C. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • D. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • E. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • 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: Hati
Triple: [Freki, relatedMythicAnimal, Hati]
Generated description
Hati is a wolf from Norse mythology, often depicted as a cosmic predator that chases the moon across the sky and is prophesied to devour it during Ragnarök.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hati
Target entity description: Hati is a wolf from Norse mythology, often depicted as a cosmic predator that chases the moon across the sky and is prophesied to devour it during Ragnarök.
  • A. Haamene
    Haamene is the principal village and administrative center on the island of Taha'a in French Polynesia.
  • B. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • C. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • D. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • E. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31b72d081908ec8029cd9f6d814 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96ba260b48190a5bde201ee3df69a completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96fe942648190a8779e13e16b9196 completed April 10, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 8:55 p.m.