Triple

T17194794
Position Surface form Disambiguated ID Type / Status
Subject Narts E417319 entity
Predicate hasMember P10 FINISHED
Object Shatana E417327 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: Shatana | Statement: [Narts, hasMember, Shatana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shatana
Context triple: [Narts, hasMember, Shatana]
  • A. Shatana chosen
    Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
  • B. Satana
    Satana is a town in the Nashik district of Maharashtra, India, known for its agricultural markets and proximity to several religious and historical sites.
  • C. Satanael
    Satanael is the final, rebellion-themed Persona of Joker in Persona 5, embodying defiance against fate and wielding immense power in the game’s climactic battles.
  • D. Satanika
    Satanika is a character from the Indian epic Mahabharata, known as one of the sons of Nakula and a warrior prince of the Pandava lineage.
  • E. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da9e6208190b5c4e5925e840217 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd5f834819080ad2a2ffdc017b6 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.