Triple

T3072742
Position Surface form Disambiguated ID Type / Status
Subject I. Bernard Cohen E64061 entity
Predicate hasFamilyName P18 FINISHED
Object Cohen E109009 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: Cohen | Statement: [I. Bernard Cohen, hasFamilyName, Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cohen
Context triple: [I. Bernard Cohen, hasFamilyName, Cohen]
  • A. Cohen chosen
    Cohen is a common Jewish surname of Hebrew origin historically associated with priestly lineage.
  • B. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • C. Genghis Cohen
    Genghis Cohen is a minor character in Thomas Pynchon's novel "The Crying of Lot 49," known as a philatelist who helps analyze the mysterious stamps central to the story's conspiracy.
  • D. Samuel Cohen
    Samuel Cohen, better known as Sammy Cahn, was an American lyricist renowned for his Academy Award–winning songs and collaborations with artists like Frank Sinatra.
  • E. Lorca Cohen
    Lorca Cohen is the daughter of Canadian singer-songwriter and poet Leonard Cohen, known for maintaining a largely private life outside her father's public artistic legacy.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14e372c81908c25c7f3e7e0c864 completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8828c488190877902a6c2dfcb5e completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.