Triple

T20566366
Position Surface form Disambiguated ID Type / Status
Subject Zilu E504974 entity
Predicate contemporaryOf P6401 FINISHED
Object Zengzi 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: Zengzi | Statement: [Zilu, contemporaryOf, Zengzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zengzi
Context triple: [Zilu, contemporaryOf, Zengzi]
  • A. Zengzi chosen
    Zengzi was a prominent disciple of Confucius, renowned for his moral integrity and influential role in the development and transmission of Confucian thought.
  • B. Zigong
    Zigong is a historic industrial city in southern Sichuan, China, best known for its ancient salt industry and renowned dinosaur fossil sites.
  • C. Junzi
    Junzi is a central Confucian ideal of the morally exemplary "gentleman" or noble person who embodies virtue, righteousness, and proper conduct.
  • D. Yan Hui
    Yan Hui was Confucius’s favorite disciple, renowned for his exceptional virtue, humility, and understanding of Confucian teachings.
  • E. Mozi
    Mozi was an influential Chinese philosopher and founder of Mohism, known for advocating universal love, meritocratic governance, and opposition to offensive warfare during the Warring States period.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a228948190b47a3a61f239e00d completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.