Triple

T12075220
Position Surface form Disambiguated ID Type / Status
Subject Ogre (Baintha Brakk) E287526 entity
Predicate secondAscentBy P41406 FINISHED
Object Hainsch Heller
Hainsch Heller is a mountaineer known for making the second recorded ascent of the formidable Karakoram peak Ogre (Baintha Brakk).
E964907 NE FINISHED

How this triple was built (4 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: Hainsch Heller | Statement: [Ogre (Baintha Brakk), secondAscentBy, Hainsch Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainsch Heller
Context triple: [Ogre (Baintha Brakk), secondAscentBy, Hainsch Heller]
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Benno
    Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • E. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hainsch Heller
Triple: [Ogre (Baintha Brakk), secondAscentBy, Hainsch Heller]
Generated description
Hainsch Heller is a mountaineer known for making the second recorded ascent of the formidable Karakoram peak Ogre (Baintha Brakk).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hainsch Heller
Target entity description: Hainsch Heller is a mountaineer known for making the second recorded ascent of the formidable Karakoram peak Ogre (Baintha Brakk).
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Benno
    Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • E. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • F. None of above. chosen

Provenance (5 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045ceeec81909427cae8972eed26 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ed5908190a0082796366a8825 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.