Triple

T21366886
Position Surface form Disambiguated ID Type / Status
Subject Shirakawa E526939 entity
Predicate eraNameUsed P2938 FINISHED
Object Daiji 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: Daiji | Statement: [Shirakawa, eraNameUsed, Daiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daiji
Context triple: [Shirakawa, eraNameUsed, Daiji]
  • A. Daiji chosen
    Daiji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • B. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • C. Jai
    Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
  • D. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • E. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bae5eb88190be6d9ff4dc03d52b completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:09 p.m.