Triple

T10908903
Position Surface form Disambiguated ID Type / Status
Subject Michael Dell E257641 entity
Predicate familyName P18 FINISHED
Object Dell E52450 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: Dell | Statement: [Michael Dell, familyName, Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dell
Context triple: [Michael Dell, familyName, Dell]
  • A. Dell chosen
    Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
  • B. Lenovo
    Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • E. The Dell
    The Dell was a historic football stadium in Southampton, England, best known as the long-time home ground of Southampton F.C. until its closure and demolition in the early 2000s.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.