Triple

T2365573
Position Surface form Disambiguated ID Type / Status
Subject Opsware E47370 entity
Predicate acquiredBy P347 FINISHED
Object HP E7429 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 | Statement: [Opsware, acquiredBy, HP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HP
Context triple: [Opsware, acquiredBy, HP]
  • A. HP
    HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
  • B. Hewlett-Packard chosen
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • 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. 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. HP Pavilion PCs
    HP Pavilion PCs are a popular line of consumer-oriented desktop and laptop computers from Hewlett-Packard designed for everyday home and multimedia use.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc749f8e0819094144b9dd9db8790 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea896e0388190aabff2d70787dc43 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:55 p.m.