Triple

T10264594
Position Surface form Disambiguated ID Type / Status
Subject Hettie Cohen E240680 entity
Predicate familyName 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: [Hettie Cohen, familyName, Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cohen
Context triple: [Hettie Cohen, familyName, Cohen]
  • A. Cohen chosen
    Cohen is a common Jewish surname of Hebrew origin historically associated with priestly lineage.
  • B. Cohn
    Cohn is a surname most prominently associated with Harry Cohn, the influential co-founder and longtime head of Columbia Pictures.
  • C. Cohen-Kagan
    Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
  • D. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • E. Alan Cohen
    Alan Cohen, better known by his professional name Corey Allen, was an American actor and director recognized for his role in "Rebel Without a Cause" and his later work directing numerous television series.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25e68fc8190b46699d2266c0505 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ff3f808190b4a8a021f44e2176 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:33 a.m.