Triple

T9054642
Position Surface form Disambiguated ID Type / Status
Subject Geta E216966 entity
Predicate cognomen P6662 FINISHED
Object Geta E216966 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: Geta | Statement: [Geta, cognomen, Geta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geta
Context triple: [Geta, cognomen, Geta]
  • A. Geta chosen
    Geta was a short-reigning Roman emperor of the Severan dynasty, known for his joint rule and bitter rivalry with his brother Caracalla, who ultimately had him murdered.
  • B. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • C. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • D. Usa Jingū
    Usa Jingū is a prominent Shinto shrine in Ōita Prefecture, Japan, revered as the principal sanctuary of the war and guardian deity Hachiman and a historically important religious center.
  • E. Naha Otsunahiki
    Naha Otsunahiki is a massive traditional tug-of-war event held annually in Naha, Okinawa, famous for its giant rope and large-scale community participation.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a72e2dc8190a16deff8abe701b1 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.