Triple

T12184133
Position Surface form Disambiguated ID Type / Status
Subject Cass Sunstein E290289 entity
Predicate givenName P17 FINISHED
Object Cass E290289 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: Cass | Statement: [Cass Sunstein, givenName, Cass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cass
Context triple: [Cass Sunstein, givenName, Cass]
  • A. Cass
    Cass is a 2008 British crime drama film following the violent rise and personal struggles of real-life football hooligan Cass Pennant in London.
  • B. Cass chosen
    Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
  • C. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • D. Cassidy
    Cassidy is a feminine given name of Irish origin that has become popular in English-speaking countries.
  • E. Cassidy
    "Cassidy" is a 1970s American television movie (and short-lived series pilot) starring Angie Dickinson as a politically ambitious country singer.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.