Triple

T5138654
Position Surface form Disambiguated ID Type / Status
Subject Becker E115890 entity
Predicate hasNotableBearer P458 FINISHED
Object Benjamin Becker
Benjamin Becker is a retired German professional tennis player best known for defeating Andre Agassi in Agassi’s final professional match at the 2006 US Open.
E495542 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: Benjamin Becker | Statement: [Becker, hasNotableBearer, Benjamin Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Becker
Context triple: [Becker, hasNotableBearer, Benjamin Becker]
  • A. Michael Philipp Boumann
    Michael Philipp Boumann was a German architect best known for his work on prominent Prussian buildings in the late 18th and early 19th centuries.
  • B. Maximilian Bittner
    Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
  • C. Marc Behm
    Marc Behm was an American novelist and screenwriter best known for his work on suspenseful, offbeat stories, including the screenplay for the classic film "Charade."
  • D. Jonas Schneider
    Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
  • E. Matthias Kleinheisterkamp
    Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
  • 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: Benjamin Becker
Triple: [Becker, hasNotableBearer, Benjamin Becker]
Generated description
Benjamin Becker is a retired German professional tennis player best known for defeating Andre Agassi in Agassi’s final professional match at the 2006 US Open.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benjamin Becker
Target entity description: Benjamin Becker is a retired German professional tennis player best known for defeating Andre Agassi in Agassi’s final professional match at the 2006 US Open.
  • A. Michael Philipp Boumann
    Michael Philipp Boumann was a German architect best known for his work on prominent Prussian buildings in the late 18th and early 19th centuries.
  • B. Maximilian Bittner
    Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
  • C. Marc Behm
    Marc Behm was an American novelist and screenwriter best known for his work on suspenseful, offbeat stories, including the screenplay for the classic film "Charade."
  • D. Jonas Schneider
    Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
  • E. Matthias Kleinheisterkamp
    Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec5867eac819089ee2c5eddc32a4b completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec5eb535c819097deeb331f9f0f4d completed March 21, 2026, 4:23 p.m.
Created at: March 20, 2026, 1:43 p.m.