Triple

T6920589
Position Surface form Disambiguated ID Type / Status
Subject Krishna Thea Lakshmi-Dell E160173 entity
Predicate familyName P18 FINISHED
Object Lakshmi-Dell E160173 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: Lakshmi-Dell | Statement: [Krishna Thea Lakshmi-Dell, familyName, Lakshmi-Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakshmi-Dell
Context triple: [Krishna Thea Lakshmi-Dell, familyName, Lakshmi-Dell]
  • A. 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.
  • B. Krishna Thea Lakshmi-Dell chosen
    Krishna Thea Lakshmi-Dell is the daughter of author, model, and television host Padma Lakshmi and businessman Adam Dell.
  • C. Dell
    Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
  • D. Lenovo
    Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
  • E. Acer
    Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.