Triple

T4900975
Position Surface form Disambiguated ID Type / Status
Subject Shu Chien E109796 entity
Predicate name P16 FINISHED
Object Shu Chien E109796 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: Shu Chien | Statement: [Shu Chien, name, Shu Chien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shu Chien
Context triple: [Shu Chien, name, Shu Chien]
  • A. Shu Chien chosen
    Shu Chien is a renowned Chinese-American physiologist and bioengineer recognized for pioneering contributions to cardiovascular biomechanics and microcirculation research.
  • B. Han Lue
    Han Lue is a laid-back, skilled street racer and heist crew member in the Fast & Furious franchise, known for his calm demeanor, drifting talent, and constant snacking.
  • C. Sun Liang
    Sun Liang was a young emperor of Eastern Wu during China’s Three Kingdoms period, whose short and turbulent reign was dominated by powerful regents.
  • D. Cheng Wei
    Cheng Wei is a Chinese entrepreneur best known as the founder and CEO of ride-hailing giant Didi Chuxing.
  • E. Shen Dao
    Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4dd6bc819094b1cbf533510995 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fd2a0348190a285ea1a62e7ae1b completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.