Triple

T8768199
Position Surface form Disambiguated ID Type / Status
Subject Vera-Ellen E208388 entity
Predicate familyName P18 FINISHED
Object Rohe
Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
 E756723 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: Rohe | Statement: [Vera-Ellen, familyName, Rohe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rohe
Context triple: [Vera-Ellen, familyName, Rohe]
  • A. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • B. Hron
    Hron is a major river in southern Slovakia known for its length, historical significance, and role in regional transport and recreation.
  • C. Drau
    Drau is the German name for the Drava, a major river in Central and Southeastern Europe that flows through countries including Italy, Austria, Slovenia, and Croatia.
  • D. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • E. Rhin
    The Rhin is a small river in northeastern Germany that flows through Brandenburg and serves as a tributary within the Havel river system.
  • 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: Rohe
Triple: [Vera-Ellen, familyName, Rohe]
Generated description
Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rohe
Target entity description: Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
  • A. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • B. Hron
    Hron is a major river in southern Slovakia known for its length, historical significance, and role in regional transport and recreation.
  • C. Drau
    Drau is the German name for the Drava, a major river in Central and Southeastern Europe that flows through countries including Italy, Austria, Slovenia, and Croatia.
  • D. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • E. Rhin
    The Rhin is a small river in northeastern Germany that flows through Brandenburg and serves as a tributary within the Havel river system.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eec49708190ba760d81a7974c50 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51a78a98819083ed4e214cd1fd22 completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf5323b7c08190819de236e01ce9d3 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf54a056408190bd536f79e3ec33be completed April 3, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:41 p.m.