Triple

T15966411
Position Surface form Disambiguated ID Type / Status
Subject GS E387202 entity
Predicate issuerFoundedBy P29434 FINISHED
Object Marcus Goldman E389902 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: Marcus Goldman | Statement: [GS, issuerFoundedBy, Marcus Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus Goldman
Context triple: [GS, issuerFoundedBy, Marcus Goldman]
  • A. Marcus Goldman chosen
    Marcus Goldman was a 19th-century German-born American investment banker best known as the founder of the global financial firm Goldman Sachs.
  • B. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • C. Max Goldman
    Max Goldman is a cantankerous yet endearing elderly man and one of the two feuding neighbors at the heart of the comedy film "Grumpy Old Men."
  • D. Gary Goldman
    Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
  • E. Gary Goldman
    Gary Goldman is an American animator, director, and producer best known for his work on Don Bluth–style animated films such as Anastasia.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15726536881908b603e43ae1acafb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff794c8508190a444af7ce968c5da completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:54 a.m.