Triple

T19580564
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaocigao E489976 entity
Predicate posthumousTitleOf P110011 FINISHED
Object Lady Abahai 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: Lady Abahai | Statement: [Empress Xiaocigao, posthumousTitleOf, Lady Abahai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Abahai
Context triple: [Empress Xiaocigao, posthumousTitleOf, Lady Abahai]
  • A. Lady Abahai chosen
    Lady Abahai was a prominent consort of Nurhaci and a key matriarch of the early Qing imperial family, remembered as the mother of the dynasty’s founding emperor Hong Taiji.
  • B. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • C. Yoriko
    Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Kushi Inada Hime
    Kushi Inada Hime is a goddess from Japanese mythology, best known as the wife of the storm god Susanoo and the rescued maiden in the Yamata no Orochi legend.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.