Triple

T13911799
Position Surface form Disambiguated ID Type / Status
Subject CrunchFund E334514 entity
Predicate hasInvestmentThesis P38266 FINISHED
Object early-stage technology-focused investing LITERAL 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: early-stage technology-focused investing | Statement: [CrunchFund, hasInvestmentThesis, early-stage technology-focused investing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInvestmentThesis
Context triple: [CrunchFund, hasInvestmentThesis, early-stage technology-focused investing]
  • A. hasInvestmentTheme chosen
    Indicates that an investment, fund, or financial product is associated with a particular overarching theme or strategic focus (such as technology, sustainability, or healthcare).
  • B. thesisOf
    Indicates that a particular work is the thesis authored by a specified person or associated with a specified degree or institution.
  • C. hasEconomicIdea
    Indicates that an entity possesses, proposes, or is associated with a particular economic concept, theory, or viewpoint.
  • D. hasThinkTank
    Indicates that an entity is associated with, supported by, or operates a think tank as part of its activities or structure.
  • E. hasTheory
    Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
  • F. None of above.

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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.