Triple

T13075648
Position Surface form Disambiguated ID Type / Status
Subject Leo Kadanoff E329565 entity
Predicate givenName P17 FINISHED
Object Leo E792059 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: Leo | Statement: [Leo Kadanoff, givenName, Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo
Context triple: [Leo Kadanoff, 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
    Leo is the lion-themed mascot character of Japan’s professional baseball team, the Saitama Seibu Lions.
  • C. Leo chosen
    Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
  • D. 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.
  • E. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d608a2288190bf07023a5303f887 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.