Triple

T21854768
Position Surface form Disambiguated ID Type / Status
Subject 2 Broke Girls E539593 entity
Predicate characterBusinessVenture P106953 FINISHED
Object cupcake business 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: cupcake business | Statement: [2 Broke Girls, characterBusinessVenture, cupcake business]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterBusinessVenture
Context triple: [2 Broke Girls, characterBusinessVenture, cupcake business]
  • A. businessVenture
    Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
  • B. roleInBusinessVenture chosen
    Indicates that an entity holds a specific role or position within a particular business venture or entrepreneurial undertaking.
  • C. entrepreneurialDomain
    Indicates that an entity operates within, is associated with, or belongs to a particular field or sector of entrepreneurial activity.
  • D. entrepreneurialFocus
    Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
  • E. businessBase
    Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0bd5ba9288190af962117124f6483 completed April 28, 2026, 1:59 p.m.
PD Predicate disambiguation batch_69e6be9394f88190945ddd1dc004d29d completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:56 p.m.