Triple

T16620175
Position Surface form Disambiguated ID Type / Status
Subject Howard Ratner E403802 entity
Predicate conflictWith P4897 FINISHED
Object Arno
Arno is a loan shark and the main antagonist in the film "Uncut Gems," serving as Howard Ratner's menacing creditor and cousin.
 E1223989 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: Arno | Statement: [Howard Ratner, conflictWith, Arno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arno
Context triple: [Howard Ratner, conflictWith, Arno]
  • A. Arno
    The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
  • B. Arno
    Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
  • C. Karle
    Karle is a surname most notably associated with Jerome Karle, the American physical chemist and Nobel Prize laureate.
  • D. Tyrael
    Tyrael is an archangel and central heroic figure in Blizzard's Diablo video game series, known for defying the High Heavens to aid humanity against the forces of Hell.
  • E. Celduin
    Celduin, also known as the River Running, is a major river in J.R.R. Tolkien’s Middle-earth that flows from the Lonely Mountain (Erebor) through Mirkwood toward the Sea of Rhûn.
  • 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: Arno
Triple: [Howard Ratner, conflictWith, Arno]
Generated description
Arno is a loan shark and the main antagonist in the film "Uncut Gems," serving as Howard Ratner's menacing creditor and cousin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arno
Target entity description: Arno is a loan shark and the main antagonist in the film "Uncut Gems," serving as Howard Ratner's menacing creditor and cousin.
  • A. Arno
    The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
  • B. Arno
    Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
  • C. Karle
    Karle is a surname most notably associated with Jerome Karle, the American physical chemist and Nobel Prize laureate.
  • D. Tyrael
    Tyrael is an archangel and central heroic figure in Blizzard's Diablo video game series, known for defying the High Heavens to aid humanity against the forces of Hell.
  • E. Celduin
    Celduin, also known as the River Running, is a major river in J.R.R. Tolkien’s Middle-earth that flows from the Lonely Mountain (Erebor) through Mirkwood toward the Sea of Rhûn.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db0b4348190beb573bc3df98125 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e6507208190b3f32c05a2f647bd completed May 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a007f2cefa081908734a907da33a72f completed May 10, 2026, 12:50 p.m.
Created at: April 10, 2026, 5:17 a.m.