Triple

T10036731
Position Surface form Disambiguated ID Type / Status
Subject Larisa Shepitko E205188 entity
Predicate notableWork P4 FINISHED
Object You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
 E838135 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: You and Me | Statement: [Larisa Shepitko, notableWork, You and Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You and Me
Context triple: [Larisa Shepitko, notableWork, You and Me]
  • A. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • B. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • C. You and I
    "You and I" is a 1923 stage comedy by American playwright Philip Barry that helped establish his reputation for sophisticated, witty drawing-room plays.
  • D. You and I
    "You and I" is a pop ballad best known as a co-written work by American singer-songwriter Dan Wilson.
  • E. You and I
    "You and I" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark," written by the Bee Gees and known for its soft rock and country-pop 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: You and Me
Triple: [Larisa Shepitko, notableWork, You and Me]
Generated description
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You and Me
Target entity description: "You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
  • A. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • B. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • C. You and I
    "You and I" is a 1923 stage comedy by American playwright Philip Barry that helped establish his reputation for sophisticated, witty drawing-room plays.
  • D. You and I
    "You and I" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark," written by the Bee Gees and known for its soft rock and country-pop style.
  • E. You and I
    "You and I" is a pop ballad best known as a co-written work by American singer-songwriter Dan Wilson.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4bb3408190ac5dae4718ef7cad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a2cbdd08190b1ef7602ad160114 completed April 5, 2026, 5:21 p.m.
NEDg Description generation batch_69d29b28f48081909f7e0487800ebe52 completed April 5, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_69d29be3713c819089843c4ec2be93f1 completed April 5, 2026, 5:29 p.m.
Created at: March 30, 2026, 8:55 p.m.