Triple

T3269768
Position Surface form Disambiguated ID Type / Status
Subject Rachel Cohen-Kagan E68615 entity
Predicate name P16 FINISHED
Object Rachel Cohen-Kagan E68615 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: Rachel Cohen-Kagan | Statement: [Rachel Cohen-Kagan, name, Rachel Cohen-Kagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Cohen-Kagan
Context triple: [Rachel Cohen-Kagan, name, Rachel Cohen-Kagan]
  • A. Rachel Cohen-Kagan chosen
    Rachel Cohen-Kagan was an Israeli politician, women's rights activist, and one of the signatories of Israel's Declaration of Independence.
  • B. Robyn Cohen
    Robyn Cohen is an American actress best known for her role in Wes Anderson’s film "The Life Aquatic with Steve Zissou."
  • C. Miriam Bienstock
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • D. Debra Lerner Cohen
    Debra Lerner Cohen is a member of the prominent Lerner family, known for its significant influence in American real estate and professional sports ownership.
  • E. Abby Joseph Cohen
    Abby Joseph Cohen is an American economist and former Goldman Sachs partner renowned for her influential stock market forecasts and commentary on U.S. equity markets.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff349148190beae8c0994b7ad83 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35456814c8190a8e4d53935af539a completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:09 p.m.