Triple

T6266906
Position Surface form Disambiguated ID Type / Status
Subject Pan E140435 entity
Predicate hasCharacter P2308 FINISHED
Object Edvarda E581157 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: Edvarda | Statement: [Pan, hasCharacter, Edvarda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edvarda
Context triple: [Pan, hasCharacter, Edvarda]
  • A. Edvarda chosen
    Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
  • B. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • C. Ludvika
    Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
  • D. Dagmar
    Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
  • E. Edvige
    Edvige is the given name of Edvige Antonia Albina Maino, better known as Sonia Gandhi, the Italian-born Indian political leader and former president of the Indian National Congress.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0639fdad081908492c44d369df8c5 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e4003018819087961018dc153a91 completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:25 p.m.