Triple

T19839731
Position Surface form Disambiguated ID Type / Status
Subject Fu E476693 entity
Predicate hasNotableBearer P458 FINISHED
Object Fu Kuen Chen
Fu Kuen Chen is an individual notable for bearing the Chinese surname Fu, though specific widely recognized public achievements or roles are not well documented.
E1398639 NE FINISHED

How this triple was built (4 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: Fu Kuen Chen | Statement: [Fu, hasNotableBearer, Fu Kuen Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fu Kuen Chen
Context triple: [Fu, hasNotableBearer, Fu Kuen Chen]
  • A. Pao-Chi Chang
    Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
  • B. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • C. Chang Hsueh-liang
    Chang Hsueh-liang was a prominent Chinese warlord and political figure best known for his role in the 1936 Xi'an Incident, which forced Chiang Kai-shek to form a united front with the Communists against Japan.
  • D. Tung-Mow Yan
    Tung-Mow Yan is a theoretical physicist best known for co-formulating the Drell–Yan process, a fundamental mechanism for lepton pair production in high-energy particle collisions.
  • E. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fu Kuen Chen
Triple: [Fu, hasNotableBearer, Fu Kuen Chen]
Generated description
Fu Kuen Chen is an individual notable for bearing the Chinese surname Fu, though specific widely recognized public achievements or roles are not well documented.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fu Kuen Chen
Target entity description: Fu Kuen Chen is an individual notable for bearing the Chinese surname Fu, though specific widely recognized public achievements or roles are not well documented.
  • A. Pao-Chi Chang
    Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
  • B. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • C. Chang Hsueh-liang
    Chang Hsueh-liang was a prominent Chinese warlord and political figure best known for his role in the 1936 Xi'an Incident, which forced Chiang Kai-shek to form a united front with the Communists against Japan.
  • D. Tung-Mow Yan
    Tung-Mow Yan is a theoretical physicist best known for co-formulating the Drell–Yan process, a fundamental mechanism for lepton pair production in high-energy particle collisions.
  • E. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • F. None of above. chosen

Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d436990481908bb488d3935fa773 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d5ec45208190a75365a4a411aa7c completed May 16, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a07d6ffc6508190aa9df66c2cf3d532 completed May 16, 2026, 2:31 a.m.
Created at: April 10, 2026, 1:50 p.m.