Triple

T2698956
Position Surface form Disambiguated ID Type / Status
Subject John Lee Ka-chiu E58583 entity
Predicate spouse P13 FINISHED
Object Janet Lam
Janet Lam is known as the wife of John Lee Ka-chiu, the Chief Executive of Hong Kong.
 E291418 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: Janet Lam | Statement: [John Lee Ka-chiu, spouse, Janet Lam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Janet Lam
Context triple: [John Lee Ka-chiu, spouse, Janet Lam]
  • A. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • B. Karen Kwan
    Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
  • C. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • D. Brenda Hsueh
    Brenda Hsueh is a Canadian screenwriter and producer known for her work in television comedy and animation, including contributing to major studio projects.
  • E. Lori Huang
    Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
  • 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: Janet Lam
Triple: [John Lee Ka-chiu, spouse, Janet Lam]
Generated description
Janet Lam is known as the wife of John Lee Ka-chiu, the Chief Executive of Hong Kong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Janet Lam
Target entity description: Janet Lam is known as the wife of John Lee Ka-chiu, the Chief Executive of Hong Kong.
  • A. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • B. Karen Kwan
    Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
  • C. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • D. Brenda Hsueh
    Brenda Hsueh is a Canadian screenwriter and producer known for her work in television comedy and animation, including contributing to major studio projects.
  • E. Lori Huang
    Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda339cf48190b9ae6b99137f005e completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb045e304819080efecf2738453e6 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ab2a8081909e729f883a7438d7 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.