Triple

T2513463
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Hackenholt E52752 entity
Predicate notableAlias P39 FINISHED
Object Hacko
Hacko is the nickname of Lorenz Hackenholt, an SS officer who played a key role in operating gas chambers during the Holocaust.
E275145 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: Hacko | Statement: [Lorenz Hackenholt, notableAlias, Hacko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hacko
Context triple: [Lorenz Hackenholt, notableAlias, Hacko]
  • A. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Bigloo
    Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
  • D. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • E. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • 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: Hacko
Triple: [Lorenz Hackenholt, notableAlias, Hacko]
Generated description
Hacko is the nickname of Lorenz Hackenholt, an SS officer who played a key role in operating gas chambers during the Holocaust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hacko
Target entity description: Hacko is the nickname of Lorenz Hackenholt, an SS officer who played a key role in operating gas chambers during the Holocaust.
  • A. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Bigloo
    Bigloo is a high-performance Scheme implementation and compiler designed to generate efficient C, Java, and .NET code for practical application development.
  • D. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • E. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b934d3c81909627a5f4d6e6ca6a completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af4fd4f2a4819094b630cef9bfd8c4 completed March 9, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69af502a3c5c819087d3e5798db53c38 completed March 9, 2026, 10:56 p.m.
Created at: March 6, 2026, 9:46 p.m.