Triple

T11237747
Position Surface form Disambiguated ID Type / Status
Subject Evergreen Group E265986 entity
Predicate notableSubsidiary P9212 FINISHED
Object Evergreen International Corp. E265986 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: Evergreen International Corp. | Statement: [Evergreen Group, notableSubsidiary, Evergreen International Corp.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evergreen International Corp.
Context triple: [Evergreen Group, notableSubsidiary, Evergreen International Corp.]
  • A. Evergreen Group chosen
    Evergreen Group is a Taiwan-based global conglomerate best known for its shipping, aviation, and logistics businesses.
  • B. Evergreen Media Group
    Evergreen Media Group is a film production company known for its involvement in major horror franchises such as *The Conjuring*.
  • C. Greening & Co.
    Greening & Co. was a British publishing firm active in the late 19th and early 20th centuries, known for issuing popular fiction and sensational literature.
  • D. Evergreen Coast Capital
    Evergreen Coast Capital is a private equity investment firm affiliated with Elliott Management that focuses on technology and enterprise software companies.
  • E. Brown & Root
    Brown & Root is a major American engineering and construction company historically known for large-scale industrial, infrastructure, and government projects.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.