Triple

T13684908
Position Surface form Disambiguated ID Type / Status
Subject Nate Mitchell E328095 entity
Predicate startupExperience P22109 FINISHED
Object early-stage hardware startup development 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 hardware startup development | Statement: [Nate Mitchell, startupExperience, early-stage hardware startup development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startupExperience
Context triple: [Nate Mitchell, startupExperience, early-stage hardware startup development]
  • A. primaryExperience
    Indicates that one entity is the main or most significant experience associated with another entity, as opposed to secondary or supporting experiences.
  • B. experienceType chosen
    Indicates the specific kind or category of experience associated with an entity or event.
  • C. recommendedExperience
    Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
  • D. typeOfExperience
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • E. experienceIncludes
    Indicates that a particular experience encompasses, contains, or involves a specified component, activity, or element as part of it.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.