Triple

T9001023
Position Surface form Disambiguated ID Type / Status
Subject Sony Life Insurance E215037 entity
Predicate associatedWith P37 FINISHED
Object Sony Assurance E215038 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: Sony Assurance | Statement: [Sony Life Insurance, associatedWith, Sony Assurance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sony Assurance
Context triple: [Sony Life Insurance, associatedWith, Sony Assurance]
  • A. Sony Assurance chosen
    Sony Assurance is a Japanese insurance company under the Sony Financial Group, offering primarily automobile and other personal insurance services.
  • B. Sony
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • C. Sony Life
    Sony Life is a Japanese life insurance company within the Sony Financial Group, offering a range of life and related insurance products.
  • D. Sony Life Insurance
    Sony Life Insurance is a Japanese life insurance company within the Sony Financial Group, offering a range of life and related insurance products to individuals and businesses.
  • E. PlayStation
    PlayStation is a popular line of video game consoles and gaming platforms developed by Sony, known for its extensive library of exclusive titles and global influence on the gaming industry.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6954bb1881908d004a26ba7fe360 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ddb1648190a50f8877218d9883 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.