Triple

T6851646
Position Surface form Disambiguated ID Type / Status
Subject Jacob Leon Rubenstein E158031 entity
Predicate familyName P18 FINISHED
Object Rubenstein
Rubenstein is a Jewish surname borne by numerous notable individuals across fields such as music, law, business, and the arts.
 E406756 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: [Jacob Leon Rubenstein, familyName, Rubenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubenstein
Context triple: [Jacob Leon Rubenstein, familyName, Rubenstein]
  • A. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • B. 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.
  • C. Rubinstein
    Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Klötze
    Klötze is a small town in the Altmark region of Saxony-Anhalt in central Germany.
  • 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: [Jacob Leon Rubenstein, familyName, Rubenstein]
Generated description
Rubenstein is a Jewish surname borne by numerous notable individuals across fields such as music, law, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubenstein
Target entity description: Rubenstein is a Jewish surname borne by numerous notable individuals across fields such as music, law, business, and the arts.
  • A. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • B. 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.
  • C. Rubinstein chosen
    Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
  • D. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • E. Klötze
    Klötze is a small town in the Altmark region of Saxony-Anhalt in central Germany.
  • F. None of above.

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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84e6fb08190915954be5b0df2d8 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd2800c8190997c0bc7ff3e1491 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c73208e9408190b246837c0e436575 completed March 28, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69c7326b04ac8190a700061e6546cb50 completed March 28, 2026, 1:44 a.m.
Created at: March 27, 2026, 2:20 p.m.