Triple

T11113913
Position Surface form Disambiguated ID Type / Status
Subject FireCuda E262831 entity
Predicate competesWith P1375 FINISHED
Object WD Black E7815 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: WD Black | Statement: [FireCuda, competesWith, WD Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WD Black
Context triple: [FireCuda, competesWith, WD Black]
  • A. Western Digital chosen
    Western Digital is a major American data storage company known for manufacturing hard disk drives, solid-state drives, and related storage solutions for consumers and enterprises.
  • B. HGST
    HGST is a data storage company and hard drive manufacturer known for its enterprise-class HDDs and SSDs, now operating as a brand under Western Digital.
  • C. Travelstar
    Travelstar is a line of hard disk drives, originally developed by IBM and later Hitachi, designed primarily for use in mobile and portable computing devices.
  • D. Seagate Technology
    Seagate Technology is a leading American data storage company best known for manufacturing hard disk drives and other storage solutions for consumer and enterprise markets.
  • E. SAS SSDs
    SAS SSDs are high-performance solid-state drives that use the Serial Attached SCSI interface, commonly deployed in enterprise servers and storage systems for fast, reliable data access.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d78c71c81908671a93ac5196c0a completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.