Triple

T14374421
Position Surface form Disambiguated ID Type / Status
Subject Lenovo Legion E356436 entity
Predicate competitor P1375 FINISHED
Object HP Omen E232839 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: HP Omen | Statement: [Lenovo Legion, competitor, HP Omen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HP Omen
Context triple: [Lenovo Legion, competitor, HP Omen]
  • A. HP Omen chosen
    HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
  • B. Lenovo Legion
    Lenovo Legion is Lenovo’s gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
  • C. Dell G7
    The Dell G7 is a mid-range gaming laptop line known for offering strong performance and dedicated graphics in a relatively slim, budget-friendly design.
  • D. Acer Nitro series
    The Acer Nitro series is a line of budget-friendly gaming laptops and desktops designed to offer solid performance and features for mainstream gamers.
  • E. Alienware
    Alienware is a Dell-owned brand known for its high-performance, gaming-focused PCs and laptops featuring distinctive, futuristic designs.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.