Triple

T10719978
Position Surface form Disambiguated ID Type / Status
Subject Marty Piletti E252791 entity
Predicate titleCharacterOf P12208 FINISHED
Object Marty
Marty is a 1955 romantic drama film about a lonely Bronx butcher who unexpectedly finds love and must confront his own insecurities and social pressures.
 E51894 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: Marty | Statement: [Marty Piletti, titleCharacterOf, Marty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marty
Context triple: [Marty Piletti, titleCharacterOf, Marty]
  • A. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty
    Marty is a common diminutive form of the given name Martha.
  • C. Marty
    Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
  • D. Marty
    Marty is the commonly used nickname of Marty Schottenheimer, a prominent former NFL head coach known for his long tenure and regular-season success.
  • E. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • 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: Marty
Triple: [Marty Piletti, titleCharacterOf, Marty]
Generated description
Marty is a 1955 romantic drama film about a lonely Bronx butcher who unexpectedly finds love and must confront his own insecurities and social pressures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marty
Target entity description: Marty is a 1955 romantic drama film about a lonely Bronx butcher who unexpectedly finds love and must confront his own insecurities and social pressures.
  • A. Marty chosen
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • C. Marty
    Marty is a common diminutive form of the given name Martha.
  • D. Marty
    Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
  • E. Marty
    Marty is the commonly used nickname of Marty Schottenheimer, a prominent former NFL head coach known for his long tenure and regular-season success.
  • F. None of above.

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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5568489c81908a902867feffdb4f completed April 14, 2026, 2:55 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:13 p.m.