Triple

T13985209
Position Surface form Disambiguated ID Type / Status
Subject Viki Weisskopf E336420 entity
Predicate familyName P18 FINISHED
Object Weisskopf
Weisskopf is a German-language surname borne by various notable individuals in fields such as physics, music, and the arts.
 E1074041 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: Weisskopf | Statement: [Viki Weisskopf, familyName, Weisskopf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weisskopf
Context triple: [Viki Weisskopf, familyName, Weisskopf]
  • A. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • B. Weitspekan
    Weitspekan is an alternative name for the Yurok language, an Algic language traditionally spoken by the Yurok people of northwestern California.
  • C. Hecht
    Hecht is a surname of German and Jewish origin borne by various notable individuals across fields such as literature, politics, and science.
  • D. Orochen
    Orochen is an alternative name for the Evenki language, a Tungusic language spoken by the Evenki people of Siberia and parts of northeastern Asia.
  • E. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • 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: Weisskopf
Triple: [Viki Weisskopf, familyName, Weisskopf]
Generated description
Weisskopf is a German-language surname borne by various notable individuals in fields such as physics, music, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weisskopf
Target entity description: Weisskopf is a German-language surname borne by various notable individuals in fields such as physics, music, and the arts.
  • A. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • B. Weitspekan
    Weitspekan is an alternative name for the Yurok language, an Algic language traditionally spoken by the Yurok people of northwestern California.
  • C. Hecht
    Hecht is a surname of German and Jewish origin borne by various notable individuals across fields such as literature, politics, and science.
  • D. Orochen
    Orochen is an alternative name for the Evenki language, a Tungusic language spoken by the Evenki people of Siberia and parts of northeastern Asia.
  • E. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea3e5a081908ed8ead108139252 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac942ba481908858d7f214085b5f completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbaf150bac8190a9a2ed59cd8461c4 completed May 6, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf91632c8190a956aa40c4ba335d completed May 6, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:18 p.m.