Triple

T15500048
Position Surface form Disambiguated ID Type / Status
Subject Thrym E378927 entity
Predicate mythCycle P9595 FINISHED
Object Thor cycle E1148487 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: Thor cycle | Statement: [Thrym, mythCycle, Thor cycle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thor cycle
Context triple: [Thrym, mythCycle, Thor cycle]
  • A. Thor cycle chosen
    The Thor cycle is a group of Old Norse myths centered on the god Thor’s adventures, battles, and interactions with gods and giants.
  • B. Uruk cycle
    The Uruk cycle is a collection of Sumerian myths centered on the city of Uruk and its legendary rulers, including Enmerkar and Lugalbanda, that explore themes of kingship, rivalry, and divine favor in early Mesopotamian literature.
  • C. Avatar cycle
    The Avatar cycle is the recurring sequence in the Avatar universe through which the Avatar is endlessly reincarnated across the four nations, each time mastering all elements to maintain balance in the world.
  • D. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • E. Pirmasens
    Pirmasens is a town in southwestern Germany, in the state of Rhineland-Palatinate, historically known for its shoe manufacturing industry.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.