Triple

T14526691
Position Surface form Disambiguated ID Type / Status
Subject Aarne–Thompson–Uther Index E340795 entity
Predicate predecessor P97 FINISHED
Object Aarne Index E1103854 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: Aarne Index | Statement: [Aarne–Thompson–Uther Index, predecessor, Aarne Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarne Index
Context triple: [Aarne–Thompson–Uther Index, predecessor, Aarne Index]
  • A. Aarne–Thompson–Uther Index
    The Aarne–Thompson–Uther Index is a comprehensive cataloging system used in folklore studies to classify and compare traditional folktales by recurring narrative types and motifs.
  • B. Antti Aarne chosen
    Antti Aarne was a Finnish folklorist best known for pioneering the classification system for folktales that became the Aarne–Thompson–Uther Index.
  • C. Grimms
    Grimms are the monstrous, supernatural creatures that serve as the primary antagonists in the animated web series RWBY.
  • D. Hornbostel–Sachs
    Hornbostel–Sachs is a widely used system for classifying musical instruments based on how they produce sound.
  • E. Onomasticon
    Onomasticon is an early fourth-century geographical and biblical reference work by Eusebius of Caesarea that catalogs and explains place names mentioned in the Bible.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.