Triple

T5922902
Position Surface form Disambiguated ID Type / Status
Subject Joyent E131738 entity
Predicate parentCompany P254 FINISHED
Object Samsung Electronics E13776 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: Samsung Electronics | Statement: [Joyent, parentCompany, Samsung Electronics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samsung Electronics
Context triple: [Joyent, parentCompany, Samsung Electronics]
  • A. Samsung chosen
    Samsung is a South Korean multinational conglomerate best known globally for its smartphones, consumer electronics, and advanced semiconductor technologies.
  • B. LG Corporation
    LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
  • C. LG Electronics
    LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
  • D. Samsung C&T
    Samsung C&T is a South Korean construction and trading company known for executing major global projects, including landmark skyscrapers and large-scale infrastructure.
  • E. Samsung Electro-Mechanics
    Samsung Electro-Mechanics is a South Korean company specializing in the development and manufacture of electronic components such as multilayer ceramic capacitors, camera modules, and semiconductor substrates.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108186c64819088c21e9b5408d5f1 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4 p.m.