Triple

T21244975
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Rubenstein E523580 entity
Predicate familyName P18 FINISHED
Object Rubenstein
Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
 E1472928 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: Rubenstein | Statement: [Alexandra Rubenstein, familyName, Rubenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubenstein
Context triple: [Alexandra Rubenstein, familyName, Rubenstein]
  • A. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • B. Schaech
    Schaech is the surname of American actor and screenwriter Johnathon Schaech, known for roles in films like "That Thing You Do!" and various television series.
  • C. Kostka
    Kostka is a Polish surname most famously borne by Saint Stanislaus Kostka, a 16th-century Jesuit novice venerated in the Catholic Church.
  • D. El Brendel
    El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
  • E. Count of Wertheim
    The Count of Wertheim was a noble title held by the ruling family of the small medieval and early modern German county of Wertheim within the Holy Roman Empire.
  • 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: Rubenstein
Triple: [Alexandra Rubenstein, familyName, Rubenstein]
Generated description
Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubenstein
Target entity description: Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
  • A. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • B. Schaech
    Schaech is the surname of American actor and screenwriter Johnathon Schaech, known for roles in films like "That Thing You Do!" and various television series.
  • C. Kostka
    Kostka is a Polish surname most famously borne by Saint Stanislaus Kostka, a 16th-century Jesuit novice venerated in the Catholic Church.
  • D. El Brendel
    El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
  • E. Count of Wertheim
    The Count of Wertheim was a noble title held by the ruling family of the small medieval and early modern German county of Wertheim within the Holy Roman Empire.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7352621488190bd74c57798c7d658 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986f705808190ba3a85d2dacb8818 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0988086a648190856057c1327a6ab1 completed May 17, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0988d4ada081909fe532955b204b94 completed May 17, 2026, 9:22 a.m.
Created at: April 16, 2026, 3:47 p.m.