Triple

T9076804
Position Surface form Disambiguated ID Type / Status
Subject Abe Reles E217504 entity
Predicate collaboratedWith P435 FINISHED
Object Martin Goldstein E527247 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: Martin Goldstein | Statement: [Abe Reles, collaboratedWith, Martin Goldstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Goldstein
Context triple: [Abe Reles, collaboratedWith, Martin Goldstein]
  • A. Martin Goldstein chosen
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • B. Michael Goldstein
    Michael Goldstein is a relatively common personal name shared by multiple individuals across fields such as academia, business, and the arts, rather than referring to a single widely recognized public figure.
  • C. Andrew Goldstein
    Andrew Goldstein is an American songwriter and record producer known for his work with major pop and rock artists across the contemporary music industry.
  • D. Bernard Goldstein
    Bernard Goldstein is a notable individual whose achievements or prominence have made the surname Goldstein particularly recognized.
  • E. Warren Goldstein
    Warren Goldstein is a writer and scholar best known for co-authoring the popular science book "Longing for the Harmonies," which explores modern physics for a general audience.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c6a67c81908d143aa25e1e803e completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d19f50f1c4819099a9c511f58e9873 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 7:12 p.m.