Triple

T1514019
Position Surface form Disambiguated ID Type / Status
Subject Virginia Hill E32077 entity
Predicate spouse P13 FINISHED
Object Hans Hauser
Hans Hauser was an Austrian skier and actor best known for his marriage to mob courier Virginia Hill.
E291658 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: Hans Hauser | Statement: [Virginia Hill, spouse, Hans Hauser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Hauser
Context triple: [Virginia Hill, spouse, Hans Hauser]
  • A. Hans Jordan
    Hans Jordan was a German Wehrmacht general during World War II who commanded Army Group Centre forces on the Eastern Front, notably during the Soviet summer offensive known as Operation Bagration.
  • B. Hans Meyer
    Hans Meyer was a German geographer and mountaineer best known for leading the first successful ascent of Mount Kilimanjaro in 1889.
  • C. Hans Mayer
    Hans Mayer was an Austrian economist of the Austrian School, known for his work on value theory and as a prominent academic in early 20th-century Vienna.
  • D. Hermann Weingärtner
    Hermann Weingärtner was a German gymnast who became one of the most successful competitors at the inaugural modern Olympic Games in 1896, winning multiple medals across several events.
  • E. Emil Sieg
    Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
  • 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: Hans Hauser
Triple: [Virginia Hill, spouse, Hans Hauser]
Generated description
Hans Hauser was an Austrian skier and actor best known for his marriage to mob courier Virginia Hill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hans Hauser
Target entity description: Hans Hauser was an Austrian skier and actor best known for his marriage to mob courier Virginia Hill.
  • A. Hans Jordan
    Hans Jordan was a German Wehrmacht general during World War II who commanded Army Group Centre forces on the Eastern Front, notably during the Soviet summer offensive known as Operation Bagration.
  • B. Hans Meyer
    Hans Meyer was a German geographer and mountaineer best known for leading the first successful ascent of Mount Kilimanjaro in 1889.
  • C. Hans Mayer
    Hans Mayer was an Austrian economist of the Austrian School, known for his work on value theory and as a prominent academic in early 20th-century Vienna.
  • D. Hermann Weingärtner
    Hermann Weingärtner was a German gymnast who became one of the most successful competitors at the inaugural modern Olympic Games in 1896, winning multiple medals across several events.
  • E. Emil Sieg
    Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb65a9680819096e82b69b05cfa92 completed March 10, 2026, 6:12 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7aa131c81908cdfbda9575312f3 completed March 10, 2026, 6:18 a.m.
Created at: March 4, 2026, 7:26 p.m.