Triple

T11243383
Position Surface form Disambiguated ID Type / Status
Subject Len E266132 entity
Predicate relatedName P3889 FINISHED
Object Leo unclear NED1 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: [Len, relatedName, Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo
Context triple: [Len, relatedName, Leo]
  • A. Leo
    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 an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
  • E. Leo
    Leo is the lion-themed mascot character of Japan’s professional baseball team, the Saitama Seibu Lions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad849f70819098a7056fbc4831ff completed April 19, 2026, 10:25 a.m.
Created at: April 8, 2026, 9:30 p.m.