Triple

T8783996
Position Surface form Disambiguated ID Type / Status
Subject Love Chapter E208999 entity
Predicate usedIn P98 FINISHED
Object Christian weddings E467057 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 weddings | Statement: [Love Chapter, usedIn, Christian weddings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian weddings
Context triple: [Love Chapter, usedIn, Christian weddings]
  • A. Wedding
    Wedding is a district in Berlin, Germany, known for its multicultural character and urban residential neighborhoods.
  • B. Christian churches
    Christian churches are places of worship for followers of Christianity, typically characterized by spaces for communal prayer, preaching, and the celebration of sacraments.
  • C. Royal Wedding
    Royal Wedding is a 1951 MGM musical film starring Fred Astaire, renowned for its innovative dance sequences including Astaire’s iconic ceiling-and-walls dance.
  • D. Christian liturgy chosen
    Christian liturgy is the structured public worship of Christian communities, encompassing prayers, readings, sacraments, and rituals ordered according to ecclesiastical tradition and the liturgical year.
  • E. Christian
    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.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f72f4bc8190b85bd051d3db6881 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51f41eb081909124a5e74333a31d completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.