Triple

T9455564
Position Surface form Disambiguated ID Type / Status
Subject Christian II of Denmark E228005 entity
Predicate nativeName P15 FINISHED
Object Christian 2. E58871 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: Christian 2. | Statement: [Christian II of Denmark, nativeName, Christian 2.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian 2.
Context triple: [Christian II of Denmark, nativeName, Christian 2.]
  • A. Chishtian
    Chishtian is a prominent city in Pakistan’s Punjab province known as a regional commercial and agricultural hub.
  • B. The Christian
    "The Christian" is a 1914 American silent drama film adaptation of Hall Caine’s popular novel, produced during the early feature-film era.
  • C. Cristiani
    Cristiani is an Italian-origin surname most notably associated with Alfredo Cristiani, a former president of El Salvador.
  • D. Christian chosen
    Christian is a masculine given name of Latin origin, widely used in many European languages and historically borne by numerous notable figures, including royalty and religious leaders.
  • E. Christianity
    Christianity is a monotheistic Abrahamic religion centered on the life, teachings, death, and resurrection of Jesus Christ, emphasizing salvation through faith in him.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122849fec81908a8e7363d6bab4ed completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.