Triple

T12120740
Position Surface form Disambiguated ID Type / Status
Subject Andrew Frankel E288685 entity
Predicate associatedWith P37 FINISHED
Object Stuart Frankel & Co. E962694 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: Stuart Frankel & Co. | Statement: [Andrew Frankel, associatedWith, Stuart Frankel & Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Frankel & Co.
Context triple: [Andrew Frankel, associatedWith, Stuart Frankel & Co.]
  • A. Stuart Frankel & Co. chosen
    Stuart Frankel & Co. is a brokerage and trading firm known for its institutional equity trading services.
  • B. Wertheim & Company
    Wertheim & Company was a prominent American investment banking and brokerage firm active in the mid-20th century financial industry.
  • C. Marcus Goldman & Co.
    Marcus Goldman & Co. was the original 19th-century commercial paper business founded by Marcus Goldman that later evolved into the global investment bank Goldman Sachs.
  • D. Schlesinger & Mayer
    Schlesinger & Mayer was a prominent Chicago department store whose flagship building later became known as the Sullivan Center.
  • E. Forstmann Little & Co.
    Forstmann Little & Co. was a prominent private equity firm known for its leveraged buyouts of major U.S. companies in the 1980s.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a77e3588190bf84b3c3aa311641 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.