Triple

T13538768
Position Surface form Disambiguated ID Type / Status
Subject Retired Emperor Sutoku E323326 entity
Predicate eraNameDuringReign P55549 FINISHED
Object Tenji E1043306 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: Tenji | Statement: [Retired Emperor Sutoku, eraNameDuringReign, Tenji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenji
Context triple: [Retired Emperor Sutoku, eraNameDuringReign, Tenji]
  • A. Tenji chosen
    Tenji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • B. Tenko
    Tenko is a British television drama series set in a World War II Japanese internment camp for women, known for its intense character-driven storytelling and ensemble cast.
  • C. Kushi
    Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
  • D. Tajōmaru
    Tajōmaru is the notorious bandit whose conflicting testimonies drive the plot and themes of truth and perception in Ryūnosuke Akutagawa’s short story "In a Grove."
  • E. Tinku
    Tinku is a traditional Andean musical style rooted in Bolivian ritual combat festivals, characterized by energetic rhythms, communal singing, and indigenous instrumentation.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.