Triple

T8020083
Position Surface form Disambiguated ID Type / Status
Subject Beautiful Girls E186717 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
E708744 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: [Beautiful Girls, mainCharacter, Marty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty
Context triple: [Beautiful Girls, mainCharacter, 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 Quinn
    Marty Quinn is an American politician known for serving as a Democratic member of the Chicago City Council representing the 13th Ward.
  • 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: [Beautiful Girls, mainCharacter, Marty]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marty
Target entity description: 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.
  • 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 Quinn
    Marty Quinn is an American politician known for serving as a Democratic member of the Chicago City Council representing the 13th Ward.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8bc90081909f6f5878e6f1f241 completed March 31, 2026, 3:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c82824819082e93eddc40bfad1 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:20 p.m.