Triple

T12416252
Position Surface form Disambiguated ID Type / Status
Subject Gudrun Himmler E296643 entity
Predicate nickname P55 FINISHED
Object Püppi E296643 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: Püppi | Statement: [Gudrun Himmler, nickname, Püppi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Püppi
Context triple: [Gudrun Himmler, nickname, Püppi]
  • A. Püppi chosen
    Püppi was the nickname of Gudrun Himmler, the daughter of Heinrich Himmler, who became known for her lifelong loyalty to her father's Nazi legacy.
  • B. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • C. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • D. Püünsi
    Püünsi is a small village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • E. Punnun
    Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6de5808190b2116b0b491c40b5 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f002b7c81909ee9d4ea3ea6d5f2 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.