Triple

T11010272
Position Surface form Disambiguated ID Type / Status
Subject Nonso Anozie E260227 entity
Predicate notableWork P4 FINISHED
Object 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.
 E899444 NE FINISHED

How this triple was built (4 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: [Nonso Anozie, notableWork, Cass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cass
Context triple: [Nonso Anozie, notableWork, Cass]
  • A. Cass
    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.
  • B. 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.
  • C. Cassidy
    Cassidy is a feminine given name of Irish origin that has become popular in English-speaking countries.
  • D. Cassidy
    "Cassidy" is a 1970s American television movie (and short-lived series pilot) starring Angie Dickinson as a politically ambitious country singer.
  • E. Cassidy
    Cassidy is a surname most famously associated with American singer Eva Cassidy, known for her emotive interpretations of jazz, blues, folk, and pop standards.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cass
Triple: [Nonso Anozie, notableWork, Cass]
Generated description
Cass is a 2008 British crime drama film following the violent rise and personal struggles of real-life football hooligan Cass Pennant in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cass
Target entity description: Cass is a 2008 British crime drama film following the violent rise and personal struggles of real-life football hooligan Cass Pennant in London.
  • A. Cass
    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.
  • B. 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.
  • C. Cassidy
    Cassidy is a feminine given name of Irish origin that has become popular in English-speaking countries.
  • D. Cassidy
    "Cassidy" is a 1970s American television movie (and short-lived series pilot) starring Angie Dickinson as a politically ambitious country singer.
  • E. Cassidy
    Cassidy is an American rapper known for his punchline-heavy battle rap style and early-2000s hits like "Hotel" and "I'm a Hustla."
  • F. None of above. chosen

Provenance (5 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79788d44c819084f35693ed96f422 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e378dcc92c8190952d4acfee2a309c completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37be75a588190abb9569ef1e87279 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.