Triple

T14637666
Position Surface form Disambiguated ID Type / Status
Subject Goodbye Solo E343647 entity
Predicate mainCharacter P1183 FINISHED
Object Solo
Solo is the Senegalese immigrant cab driver at the heart of the film "Goodbye Solo," whose warmth and determination drive the story’s emotional journey.
E1109998 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: Solo | Statement: [Goodbye Solo, mainCharacter, Solo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solo
Context triple: [Goodbye Solo, mainCharacter, Solo]
  • A. Solo
    Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
  • B. Solo
    Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
  • C. Solo
    Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
  • D. Solo
    Solo is a segment from the horror anthology film "The Turning," contributing one of its self-contained, eerie narrative episodes.
  • E. Solo
    "Solo" is a jazz piano album by Mulgrew Miller showcasing his virtuosic solo performance and sophisticated improvisational style.
  • 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: Solo
Triple: [Goodbye Solo, mainCharacter, Solo]
Generated description
Solo is the Senegalese immigrant cab driver at the heart of the film "Goodbye Solo," whose warmth and determination drive the story’s emotional journey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Solo
Target entity description: Solo is the Senegalese immigrant cab driver at the heart of the film "Goodbye Solo," whose warmth and determination drive the story’s emotional journey.
  • A. Solo
    Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
  • B. Solo
    Solo is a segment from the horror anthology film "The Turning," contributing one of its self-contained, eerie narrative episodes.
  • C. Solo
    Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
  • D. Solo
    "Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
  • E. Solo
    Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda934ec3c81909eb3c3a54260436b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb1ad32a4819088e5831f3d74ea4e completed May 8, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69fdb316479c81909343196bb89e5e57 completed May 8, 2026, 9:55 a.m.
Created at: April 10, 2026, 1:26 a.m.