Triple

T7591951
Position Surface form Disambiguated ID Type / Status
Subject Celtic mythology E179754 entity
Predicate hasPart P35 FINISHED
Object Fenian Cycle E518893 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: Fenian Cycle | Statement: [Celtic mythology, hasPart, Fenian Cycle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenian Cycle
Context triple: [Celtic mythology, hasPart, Fenian Cycle]
  • A. Fenian cycle chosen
    The Fenian cycle is a body of medieval Irish heroic legends centered on the warrior Fionn mac Cumhaill and his band of hunters, the Fianna.
  • B. Ulster Cycle
    The Ulster Cycle is a collection of medieval Irish heroic legends centered on the exploits of the warrior Cú Chulainn and the kings and heroes of the ancient province of Ulster.
  • C. Annals of Tigernach
    The Annals of Tigernach are a medieval Irish chronicle that records historical events in Ireland and surrounding regions from ancient times through the Middle Ages.
  • D. Mabinogion
    The Mabinogion is a renowned collection of medieval Welsh prose tales blending mythology, folklore, and early Arthurian legend.
  • E. Over Nine Waves: A Book of Irish Legends
    Over Nine Waves: A Book of Irish Legends is a retelling of traditional Irish myths and legends for modern readers, written by Irish author and editor Marie Heaney.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b746ac8190b255afdfb9635f72 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86843a7808190a4c1d3c33a7441ed completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:53 p.m.