Triple

T19436710
Position Surface form Disambiguated ID Type / Status
Subject PureCoverage E486241 entity
Predicate developer P73 FINISHED
Object Pure Software NE NERFINISHED

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: Pure Software | Statement: [PureCoverage, developer, Pure Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pure Software
Context triple: [PureCoverage, developer, Pure Software]
  • A. Pure Software chosen
    Pure Software was a software company best known as Reed Hastings’s early venture in developing tools to improve software reliability before he went on to co-found Netflix.
  • B. Pure1
    Pure1 is Pure Storage’s cloud-based data management and analytics platform that provides monitoring, predictive insights, and optimization for storage environments.
  • C. Pure
    Pure is the debut EP by American noise rock band The Jesus Lizard, showcasing their early abrasive sound and setting the stage for their later influential releases.
  • D. Pure
    Pure is a British television comedy-drama series that follows a young woman struggling with intrusive sexual thoughts and undiagnosed OCD.
  • E. Pure
    Pure is a successful studio album by Belgian-Canadian singer Lara Fabian that helped establish her international popularity with its emotive pop and ballad style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633618c2881908f3d2a9cabb02289 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.