Triple

T22874185
Position Surface form Disambiguated ID Type / Status
Subject Paladin’s Strength E567276 entity
Predicate mainCharacter P1183 FINISHED
Object Istvhan NE NERFINISHED

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: Istvhan | Statement: [Paladin’s Strength, mainCharacter, Istvhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istvhan
Context triple: [Paladin’s Strength, mainCharacter, Istvhan]
  • A. István chosen
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Imre
    Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
  • C. Sebestyén
    Sebestyén is a Hungarian surname most notably borne by architect Artúr Sebestyén.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. Gyula
    Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f56d6448190ada4aef08eac2bed completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.