Triple

T21204016
Position Surface form Disambiguated ID Type / Status
Subject Andrus Ansip E522530 entity
Predicate name P16 FINISHED
Object Andrus Ansip NE NERFINISHED

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: Andrus Ansip | Statement: [Andrus Ansip, name, Andrus Ansip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrus Ansip
Context triple: [Andrus Ansip, name, Andrus Ansip]
  • A. Andrus Ansip chosen
    Andrus Ansip is an Estonian politician who served as the country’s long-serving prime minister and later became a European Commissioner.
  • B. Taavi Rõivas
    Taavi Rõivas is an Estonian politician who served as the Prime Minister of Estonia from 2014 to 2016.
  • C. Shibu Soren
    Shibu Soren is an Indian politician and prominent Jharkhand Mukti Morcha leader who has served multiple terms as Chief Minister of Jharkhand and played a key role in the movement for the state's creation.
  • D. Jüri Ratas
    Jüri Ratas is an Estonian politician who has served as the Prime Minister of Estonia and a leading figure in the Centre Party.
  • E. Rosen Plevneliev
    Rosen Plevneliev is a Bulgarian politician and businessman who served as President of Bulgaria from 2012 to 2017.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7343367308190b1b772d3c8e25dcb completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:19 p.m.