Triple

T1105745
Position Surface form Disambiguated ID Type / Status
Subject Silver Linings Playbook E25483 entity
Predicate mainCharacter P1183 FINISHED
Object Pat Solitano
Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
 E125499 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: Pat Solitano | Statement: [Silver Linings Playbook, mainCharacter, Pat Solitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pat Solitano
Context triple: [Silver Linings Playbook, mainCharacter, Pat Solitano]
  • A. Paulie
    Paulie is a familiar diminutive form of the given name Paul, often used as an affectionate nickname.
  • B. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • C. Isaac Gomez
    Isaac Gomez was one of the early New York stockbrokers who helped found what became the New York Stock Exchange by participating in the 1792 Buttonwood Agreement.
  • D. Arthur "Fonzie" Fonzarelli
    Arthur "Fonzie" Fonzarelli is the iconic, leather-jacket-wearing, motorcycle-riding cool guy from the classic American sitcom "Happy Days."
  • E. Axel Foley
    Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
  • 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: Pat Solitano
Triple: [Silver Linings Playbook, mainCharacter, Pat Solitano]
Generated description
Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pat Solitano
Target entity description: Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
  • A. Paulie
    Paulie is a familiar diminutive form of the given name Paul, often used as an affectionate nickname.
  • B. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • C. Isaac Gomez
    Isaac Gomez was one of the early New York stockbrokers who helped found what became the New York Stock Exchange by participating in the 1792 Buttonwood Agreement.
  • D. Arthur "Fonzie" Fonzarelli
    Arthur "Fonzie" Fonzarelli is the iconic, leather-jacket-wearing, motorcycle-riding cool guy from the classic American sitcom "Happy Days."
  • E. Axel Foley
    Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4ccf989c8190aed2ff01ad6fbcab completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d4cbed88190ac743160198493b2 completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:43 p.m.