Triple

T22999943
Position Surface form Disambiguated ID Type / Status
Subject Coma Berenices E572607 entity
Predicate borderedBy P224 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: [Coma Berenices, borderedBy, Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo
Context triple: [Coma Berenices, borderedBy, Leo]
  • A. Leo chosen
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • B. Leo
    Leo was the given name of Leo V of Armenia, the last king of the Armenian Kingdom of Cilicia in the late 14th century.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f6484c8190bfe3f7ea894c43d8 completed April 29, 2026, 4:03 a.m.
Created at: April 17, 2026, 3:50 p.m.