Triple

T1498080
Position Surface form Disambiguated ID Type / Status
Subject Jude Law E29731 entity
Predicate hasChild P369 FINISHED
Object Sophia Law
Sophia Law is a British celebrity child known as one of actor Jude Law’s daughters.
 E171647 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: Sophia Law | Statement: [Jude Law, hasChild, Sophia Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophia Law
Context triple: [Jude Law, hasChild, Sophia Law]
  • A. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • B. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • C. Anita Chan
    Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
  • D. Margaret Chan
    Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
  • E. Shirley Lin
    Shirley Lin is best known as the mother of former NBA point guard Jeremy Lin, who gained international fame during the "Linsanity" era with the New York Knicks.
  • 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: Sophia Law
Triple: [Jude Law, hasChild, Sophia Law]
Generated description
Sophia Law is a British celebrity child known as one of actor Jude Law’s daughters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sophia Law
Target entity description: Sophia Law is a British celebrity child known as one of actor Jude Law’s daughters.
  • A. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • B. Eileen Loo
    Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
  • C. Anita Chan
    Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
  • D. Margaret Chan
    Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
  • E. Shirley Lin
    Shirley Lin is best known as the mother of former NBA point guard Jeremy Lin, who gained international fame during the "Linsanity" era with the New York Knicks.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1caf8b288190b428cf903db2c107 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1e3e8fd4819098de7b04e0fad4dc completed March 8, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad1eef24c88190a232d40aa4d2235b completed March 8, 2026, 7:02 a.m.
Created at: March 1, 2026, 8:12 p.m.