Triple

T15399439
Position Surface form Disambiguated ID Type / Status
Subject Recruit scandal E368270 entity
Predicate involves P1256 FINISHED
Object Recruit Co., Ltd. E183295 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: Recruit Co., Ltd. | Statement: [Recruit scandal, involves, Recruit Co., Ltd.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recruit Co., Ltd.
Context triple: [Recruit scandal, involves, Recruit Co., Ltd.]
  • A. Recruit Holdings chosen
    Recruit Holdings is a Japanese human resources and marketing conglomerate best known globally as the owner of major job search platform Indeed.
  • B. Koizumi Sangyo Corporation
    Koizumi Sangyo Corporation is a Japanese company known for manufacturing and supplying lighting fixtures, electrical equipment, and related industrial products.
  • C. Keio Corporation
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • D. Takenaka Corporation
    Takenaka Corporation is a major Japanese architecture, engineering, and construction firm known for designing and building prominent structures domestically and internationally.
  • E. Taisei Corporation
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.