Triple

T18438468
Position Surface form Disambiguated ID Type / Status
Subject Leo Klier E450458 entity
Predicate givenName P17 FINISHED
Object Leo 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: Leo | Statement: [Leo Klier, givenName, Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo
Context triple: [Leo Klier, givenName, Leo]
  • A. Leo
    Leo is an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
  • B. Leo chosen
    Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
  • C. Leo
    Leo is a central character in Noël Coward’s sophisticated stage comedy "Design for Living," embodying the play’s themes of unconventional relationships and bohemian lifestyle.
  • D. Leo
    Leo is the regnal name of Leo IV the Khazar, a Byzantine emperor of the 8th century.
  • E. Leo
    Leo is a central character in the wuxia film "House of Flying Daggers," known for his complex loyalties and pivotal role in the story’s romantic and political intrigue.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.