Triple

T3110214
Position Surface form Disambiguated ID Type / Status
Subject Marlon Brando E64931 entity
Predicate notableWork P4 FINISHED
Object Sayonara
"Sayonara" is a 1957 romantic drama film set during the Korean War, best known for starring Marlon Brando and addressing interracial relationships and prejudice.
 E326463 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: Sayonara | Statement: [Marlon Brando, notableWork, Sayonara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sayonara
Context triple: [Marlon Brando, notableWork, Sayonara]
  • A. Omoide Yokocho
    Omoide Yokocho is a narrow, atmospheric alleyway in Shinjuku famed for its tiny yakitori bars, izakayas, and nostalgic postwar Tokyo vibe.
  • B. The Tokyo Blues
    The Tokyo Blues is a 1962 jazz album by pianist and composer Horace Silver that blends hard bop with Japanese musical influences.
  • C. So Long, Farewell
    "So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • 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: Sayonara
Triple: [Marlon Brando, notableWork, Sayonara]
Generated description
"Sayonara" is a 1957 romantic drama film set during the Korean War, best known for starring Marlon Brando and addressing interracial relationships and prejudice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sayonara
Target entity description: "Sayonara" is a 1957 romantic drama film set during the Korean War, best known for starring Marlon Brando and addressing interracial relationships and prejudice.
  • A. Omoide Yokocho
    Omoide Yokocho is a narrow, atmospheric alleyway in Shinjuku famed for its tiny yakitori bars, izakayas, and nostalgic postwar Tokyo vibe.
  • B. The Tokyo Blues
    The Tokyo Blues is a 1962 jazz album by pianist and composer Horace Silver that blends hard bop with Japanese musical influences.
  • C. So Long, Farewell
    "So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Shinsekai
    Shinsekai is a retro entertainment district in Osaka, Japan, known for its nostalgic Showa-era atmosphere, street food, and neon-lit nightlife.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2043430548190a538c183aef44b44 completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b204c812f081908fe5733305123c0e completed March 12, 2026, 12:11 a.m.
Created at: March 8, 2026, 3:04 p.m.