Triple

T9614343
Position Surface form Disambiguated ID Type / Status
Subject Micron Technology E232180 entity
Predicate brand P1500 FINISHED
Object Micron E232180 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: Micron | Statement: [Micron Technology, brand, Micron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micron
Context triple: [Micron Technology, brand, Micron]
  • A. Micron Technology chosen
    Micron Technology is a leading American semiconductor company known for designing and manufacturing memory and storage solutions, including DRAM and NAND flash products used in computers, mobile devices, and data centers.
  • B. SK hynix
    SK hynix is a South Korean semiconductor company and one of the world’s leading manufacturers of memory chips, including DRAM and NAND flash.
  • C. Kingston Technology
    Kingston Technology is a leading American manufacturer of memory products and storage solutions, including RAM modules, SSDs, and flash drives, for consumer and enterprise markets worldwide.
  • D. SanDisk
    SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
  • E. Xicor
    Xicor was a semiconductor company best known for designing and manufacturing non-volatile memory and analog integrated circuits.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaaa47881908d69381d4d11f49b completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17958287081908e337bdbe9ea366f completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.