Triple

T12433921
Position Surface form Disambiguated ID Type / Status
Subject Cathay E297095 entity
Predicate associatedWithPoet P11016 FINISHED
Object Du Fu E210629 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: Du Fu | Statement: [Cathay, associatedWithPoet, Du Fu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Du Fu
Context triple: [Cathay, associatedWithPoet, Du Fu]
  • A. Du Fu chosen
    Du Fu was a preeminent Tang dynasty poet renowned for his profound social conscience, historical insight, and technical mastery, often hailed as one of China's greatest poets.
  • B. Bai Juyi
    Bai Juyi was a prominent Chinese poet and official of the Tang dynasty, renowned for his accessible, socially conscious verse and enduring influence on East Asian literature.
  • C. Li Bai
    Li Bai was a renowned Chinese poet of the Tang dynasty, celebrated for his romantic, imaginative verse and mastery of classical Chinese poetry.
  • D. Gao Shi
    Gao Shi was a prominent poet of China’s High Tang period, celebrated for his vivid frontier-themed verse and reflections on military life and hardship.
  • E. Yang Yi
    Yang Yi was a Chinese scholar-official and editor known for his work on the Buddhist historical text "Records of the Transmission of the Lamp."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d804c2c819082f2f86edcbb50de completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f049c9c81908d870b0ee05f2d7e completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.