Triple

T16635467
Position Surface form Disambiguated ID Type / Status
Subject Egg Shen E404186 entity
Predicate mentorTo P32710 FINISHED
Object Wang Chi E1167355 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: Wang Chi | Statement: [Egg Shen, mentorTo, Wang Chi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wang Chi
Context triple: [Egg Shen, mentorTo, Wang Chi]
  • A. Wang Chi chosen
    Wang Chi is a skilled Chinese-American martial artist and loyal friend who battles supernatural forces in the cult classic action-comedy film "Big Trouble in Little China."
  • B. Chao Chunghsiung
    Chao Chunghsiung is an individual whose family name is Chao, likely of Chinese or Taiwanese origin.
  • C. Zhu Tan
    Zhu Tan was a Ming dynasty imperial prince, one of the sons of the Hongwu Emperor and younger brother of crown prince Zhu Biao.
  • D. Li Chengqian
    Li Chengqian was the ill-fated crown prince of the Tang dynasty who was deposed after plotting against his father, Emperor Taizong.
  • E. Wang He
    Wang He was a military commander of the State of Qin during the Warring States period of ancient China, known for his role in the campaigns surrounding the Battle of Changping.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2b3a608190ad8d2b653cd8785d completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.