Triple

T5757583
Position Surface form Disambiguated ID Type / Status
Subject Jon Rubinstein E127007 entity
Predicate familyName P18 FINISHED
Object Rubinstein E406756 NE FINISHED

How this triple was built (2 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: Rubinstein | Statement: [Jon Rubinstein, familyName, Rubinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubinstein
Context triple: [Jon Rubinstein, familyName, Rubinstein]
  • A. 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.
  • B. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • C. Schoenfeld
    Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • D. Rubin Kazan
    Rubin Kazan is a Russian professional football club based in Kazan, known for competing in the Russian Premier League and winning multiple domestic titles in the late 2000s.
  • E. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029363c988190b12f3f7b68295748 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e4c70808190a31bb41d4baa5865 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.