Triple

T14396213
Position Surface form Disambiguated ID Type / Status
Subject Mikkel Svane E356954 entity
Predicate coAuthorOf P2389 FINISHED
Object Startupland E1096599 NE 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: Startupland | Statement: [Mikkel Svane, coAuthorOf, Startupland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Startupland
Context triple: [Mikkel Svane, coAuthorOf, Startupland]
  • A. Startupland chosen
    Startupland is a memoir and business book by Zendesk co-founder Mikkel Svane that chronicles the early struggles, growth, and lessons learned in building a global startup.
  • B. Startup.com
    Startup.com is a 2001 documentary film that chronicles the rise and fall of the dot-com startup GovWorks during the late-1990s internet boom.
  • C. Startup School
    Startup School is Y Combinator’s free online program that provides education, mentorship, and resources to help early-stage founders build and grow their startups.
  • D. StartUp (TV series)
    StartUp is a crime drama television series that follows a group of unlikely partners who launch a controversial digital currency startup amid the dangerous world of organized crime and corrupt law enforcement.
  • E. Startup Manager
    Startup Manager is a macOS boot utility that lets users choose which available disk or volume to start their Mac from during startup.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.