Triple

T23528143
Position Surface form Disambiguated ID Type / Status
Subject Zhang Ruimin E576488 entity
Predicate employer P7 FINISHED
Object Haier Group NE NERFINISHED

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: Haier Group | Statement: [Zhang Ruimin, employer, Haier Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haier Group
Context triple: [Zhang Ruimin, employer, Haier Group]
  • A. Midea Group
    Midea Group is a major Chinese multinational home appliance and robotics manufacturer known for its extensive range of consumer electronics and industrial automation products.
  • B. Hisense Group
    Hisense Group is a Chinese multinational electronics and appliance manufacturer best known for its televisions, home appliances, and consumer electronics sold worldwide under the Hisense brand.
  • C. Daewoo Group
    Daewoo Group was a major South Korean conglomerate (chaebol) that operated across industries such as automobiles, shipbuilding, electronics, and construction before its collapse during the Asian financial crisis.
  • D. TCL Corporation
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • E. LG Corporation
    LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac758038819098f5f597be39274e completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.