Triple

T22632313
Position Surface form Disambiguated ID Type / Status
Subject State of Song E558584 entity
Predicate founder P104 FINISHED
Object Duke Weizi of Song NE NERFINISHED

How this triple was built (3 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: Duke Weizi of Song | Statement: [State of Song, founder, Duke Weizi of Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke Weizi of Song
Context triple: [State of Song, founder, Duke Weizi of Song]
  • A. Duke Wen of Chen
    Duke Wen of Chen was an early Zhou Dynasty ruler of the ancient Chinese State of Chen, remembered as one of its most prominent and formative dukes.
  • B. Duke Hu of Chen
    Duke Hu of Chen was an early Zhou dynasty noble who established the State of Chen as a hereditary feudal domain in ancient China.
  • C. Duke Huan of Chen
    Duke Huan of Chen was an early Zhou dynasty ruler of the ancient Chinese State of Chen, remembered as one of its most prominent and historically noted dukes.
  • D. Duke Wen of Jin
    Duke Wen of Jin was a prominent Spring and Autumn period ruler of the state of Jin, renowned for his political acumen, military successes, and role in shaping the balance of power among the Chinese feudal states.
  • E. Duke Ping of Jin
    Duke Ping of Jin was a Spring and Autumn period ruler of the ancient Chinese state of Jin, known for presiding over its continued power amid complex interstate rivalries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke Weizi of Song
Target entity description: Duke Weizi of Song was an early Zhou dynasty noble, traditionally regarded as a younger brother of the last Shang king who was enfeoffed by the Zhou to establish the State of Song.
  • A. Duke Wen of Chen
    Duke Wen of Chen was an early Zhou Dynasty ruler of the ancient Chinese State of Chen, remembered as one of its most prominent and formative dukes.
  • B. Duke Hu of Chen
    Duke Hu of Chen was an early Zhou dynasty noble who established the State of Chen as a hereditary feudal domain in ancient China.
  • C. Duke Huan of Chen
    Duke Huan of Chen was an early Zhou dynasty ruler of the ancient Chinese State of Chen, remembered as one of its most prominent and historically noted dukes.
  • D. Duke Wen of Jin
    Duke Wen of Jin was a prominent Spring and Autumn period ruler of the state of Jin, renowned for his political acumen, military successes, and role in shaping the balance of power among the Chinese feudal states.
  • E. Duke Ping of Jin
    Duke Ping of Jin was a Spring and Autumn period ruler of the ancient Chinese state of Jin, known for presiding over its continued power amid complex interstate rivalries.
  • F. None of above. chosen

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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700ab4308190a16b0a1b2a0210fd completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:02 p.m.