Triple

T3551473
Position Surface form Disambiguated ID Type / Status
Subject Fenrir E75119 entity
Predicate boundBy P1045 FINISHED
Object Gleipnir
Gleipnir is the magically forged, deceptively thin binding in Norse mythology that successfully restrains the monstrous wolf Fenrir.
 E368116 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: Gleipnir | Statement: [Fenrir, boundBy, Gleipnir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gleipnir
Context triple: [Fenrir, boundBy, Gleipnir]
  • A. Reykvíkingur
    Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • B. Breiðholt
    Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
  • C. Hynnekleiv
    Hynnekleiv is a small village in the municipality of Froland in Agder county, southern Norway.
  • D. Valaskjálf
    Valaskjálf is the lofty, silver-roofed hall in Norse mythology where the god Odin sits on his high throne Hliðskjálf to survey all the worlds.
  • E. Tanngnjóstr
    Tanngnjóstr is one of Thor’s two mythic goats in Norse mythology, known for pulling his chariot and being repeatedly slaughtered and resurrected.
  • 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: Gleipnir
Triple: [Fenrir, boundBy, Gleipnir]
Generated description
Gleipnir is the magically forged, deceptively thin binding in Norse mythology that successfully restrains the monstrous wolf Fenrir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gleipnir
Target entity description: Gleipnir is the magically forged, deceptively thin binding in Norse mythology that successfully restrains the monstrous wolf Fenrir.
  • A. Reykvíkingur
    Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • B. Breiðholt
    Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
  • C. Hynnekleiv
    Hynnekleiv is a small village in the municipality of Froland in Agder county, southern Norway.
  • D. Valaskjálf
    Valaskjálf is the lofty, silver-roofed hall in Norse mythology where the god Odin sits on his high throne Hliðskjálf to survey all the worlds.
  • E. Tanngnjóstr
    Tanngnjóstr is one of Thor’s two mythic goats in Norse mythology, known for pulling his chariot and being repeatedly slaughtered and resurrected.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bec437c8190b35ca77dc19d441d completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c5d9ec8819095132a06c1add128 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cc3f330819096df64a81d4a5f58 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.