Triple

T3739390
Position Surface form Disambiguated ID Type / Status
Subject Sharp Corporation E79661 entity
Predicate hasBrand P1500 FINISHED
Object Plasmacluster
Plasmacluster is Sharp Corporation’s proprietary air purification technology brand that uses ion generation to reduce airborne pollutants and improve indoor air quality.
 E383932 NE FINISHED

How this triple was built (4 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: Plasmacluster | Statement: [Sharp Corporation, hasBrand, Plasmacluster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plasmacluster
Context triple: [Sharp Corporation, hasBrand, Plasmacluster]
  • A. Plasmolen
    Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
  • B. Electryon
    Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
  • C. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • D. Plume
    Plume is an American paperback imprint of Penguin Random House known for publishing a wide range of contemporary fiction and nonfiction titles.
  • E. Metreon
    Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plasmacluster
Triple: [Sharp Corporation, hasBrand, Plasmacluster]
Generated description
Plasmacluster is Sharp Corporation’s proprietary air purification technology brand that uses ion generation to reduce airborne pollutants and improve indoor air quality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plasmacluster
Target entity description: Plasmacluster is Sharp Corporation’s proprietary air purification technology brand that uses ion generation to reduce airborne pollutants and improve indoor air quality.
  • A. Plasmolen
    Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
  • B. Electryon
    Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
  • C. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • D. Plume
    Plume is an American paperback imprint of Penguin Random House known for publishing a wide range of contemporary fiction and nonfiction titles.
  • E. Metreon
    Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
  • F. None of above. chosen

Provenance (5 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbabb314819092dbd1ece83a894c completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9b80f8819083074657a32798a4 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.