Triple

T10415545
Position Surface form Disambiguated ID Type / Status
Subject Leon Black E245504 entity
Predicate givenName P17 FINISHED
Object Leon E79700 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: Leon | Statement: [Leon Black, givenName, Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon
Context triple: [Leon Black, givenName, Leon]
  • A. Leon chosen
    Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
  • B. Leo
    Leo is a 2023 Indian Tamil-language action thriller film directed by Lokesh Kanagaraj and starring Vijay, noted for its high-octane action and connection to the Lokesh Cinematic Universe.
  • C. Leo
    Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
  • D. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • E. 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.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0f7d188190a60a7c3832c51515 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f8a5b00819080c303bb0fc82f5a completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:10 p.m.