Triple

T15323164
Position Surface form Disambiguated ID Type / Status
Subject Jeff Shi E366343 entity
Predicate employer P7 FINISHED
Object Fosun International E111125 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: Fosun International | Statement: [Jeff Shi, employer, Fosun International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosun International
Context triple: [Jeff Shi, employer, Fosun International]
  • A. Fosun International chosen
    Fosun International is a major Chinese multinational conglomerate with diversified investments spanning sectors such as finance, healthcare, tourism, and consumer products.
  • B. Fosun Pharma
    Fosun Pharma is a major Chinese pharmaceutical and healthcare company engaged in the research, development, manufacturing, and distribution of a wide range of medical products and services.
  • C. Dalian Wanda Group
    Dalian Wanda Group is a major Chinese multinational conglomerate with core businesses in commercial property, entertainment, and tourism.
  • D. Sinobo Group
    Sinobo Group is a Chinese investment and real estate conglomerate best known in sports for its ownership stake in Beijing Guoan Football Club.
  • E. Shanghai Jiushi Group
    Shanghai Jiushi Group is a major state-owned enterprise in Shanghai involved in urban infrastructure, transportation, and sports and cultural event operations.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e9d14c8190bb095d6d5c8ffd6e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.