Triple

T5017926
Position Surface form Disambiguated ID Type / Status
Subject Pure Software E112777 entity
Predicate notableProduct P1448 FINISHED
Object Quantify
Quantify is a software product developed by Pure Software, best known as a performance analysis and profiling tool for optimizing application execution.
 E486240 NE FINISHED

How this triple was built (4 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: Quantify | Statement: [Pure Software, notableProduct, Quantify]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quantify
Context triple: [Pure Software, notableProduct, Quantify]
  • A. How Much
    "How Much" is a song featured on Mariah Carey's 1999 album "Rainbow," known for its R&B style and emotional themes.
  • B. Squantum
    Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
  • C. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • D. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • E. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quantify
Triple: [Pure Software, notableProduct, Quantify]
Generated description
Quantify is a software product developed by Pure Software, best known as a performance analysis and profiling tool for optimizing application execution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quantify
Target entity description: Quantify is a software product developed by Pure Software, best known as a performance analysis and profiling tool for optimizing application execution.
  • A. How Much
    "How Much" is a song featured on Mariah Carey's 1999 album "Rainbow," known for its R&B style and emotional themes.
  • B. Squantum
    Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
  • C. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • D. Count
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • E. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • F. None of above. chosen

Provenance (5 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73415e088190802f9bb283262386 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be938580588190bec22c1e8f7f4028 completed March 21, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69be942f29488190adfc096c8c5781ac completed March 21, 2026, 12:50 p.m.
Created at: March 20, 2026, 1:35 p.m.