Triple

T9846610
Position Surface form Disambiguated ID Type / Status
Subject Shoot the Piano Player E239355 entity
Predicate character P662 FINISHED
Object Therese
Therese is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key figure in the protagonist’s tragic backstory.
 E195946 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: Therese | Statement: [Shoot the Piano Player, character, Therese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Therese
Context triple: [Shoot the Piano Player, character, Therese]
  • A. Therese
    Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • 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: Therese
Triple: [Shoot the Piano Player, character, Therese]
Generated description
Therese is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key figure in the protagonist’s tragic backstory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Therese
Target entity description: Therese is a central female character in François Truffaut’s film "Shoot the Piano Player," serving as a key figure in the protagonist’s tragic backstory.
  • A. Therese chosen
    Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead49b14819086a9bbd256f298a9 completed April 5, 2026, 4:53 a.m.
NEDg Description generation batch_69d1eb79be388190853e0e7c29287294 completed April 5, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d1ebf0a99081908ae0c4bceadc42bc completed April 5, 2026, 4:58 a.m.
Created at: March 30, 2026, 8:34 p.m.