Triple

T22537122
Position Surface form Disambiguated ID Type / Status
Subject Khosara Khosara E557184 entity
Predicate hasTitleInArabicScript P51392 FINISHED
Object خسارة خسارة
"خسارة خسارة" هي أغنية عربية شهيرة عُرفت بلحنها العاطفي وكلماتها الحزينة التي تتناول خيبة الأمل والفقدان في الحب.
 E1542265 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: خسارة خسارة | Statement: [Khosara Khosara, hasTitleInArabicScript, خسارة خسارة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: خسارة خسارة
Context triple: [Khosara Khosara, hasTitleInArabicScript, خسارة خسارة]
  • A. Losing
    "Losing" is a song by R&B artist H.E.R., featured on her self-titled compilation album and known for its emotive vocals and introspective lyrics about heartbreak and vulnerability.
  • B. Lossie
    Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
  • C. Lose Again
    "Lose Again" is a song written by Karla Bonoff that gained recognition through Linda Ronstadt's recording on her 1976 album *Hasten Down the Wind*.
  • D. Lose to Win
    "Lose to Win" is an R&B song by American singer Fantasia Barrino that reflects on overcoming hardship and personal struggle in relationships.
  • E. Losing It
    "Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
  • 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: خسارة خسارة
Triple: [Khosara Khosara, hasTitleInArabicScript, خسارة خسارة]
Generated description
"خسارة خسارة" هي أغنية عربية شهيرة عُرفت بلحنها العاطفي وكلماتها الحزينة التي تتناول خيبة الأمل والفقدان في الحب.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: خسارة خسارة
Target entity description: "خسارة خسارة" هي أغنية عربية شهيرة عُرفت بلحنها العاطفي وكلماتها الحزينة التي تتناول خيبة الأمل والفقدان في الحب.
  • A. Losing
    "Losing" is a song by R&B artist H.E.R., featured on her self-titled compilation album and known for its emotive vocals and introspective lyrics about heartbreak and vulnerability.
  • B. Lossie
    Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
  • C. Lose Again
    "Lose Again" is a song written by Karla Bonoff that gained recognition through Linda Ronstadt's recording on her 1976 album *Hasten Down the Wind*.
  • D. Lose to Win
    "Lose to Win" is an R&B song by American singer Fantasia Barrino that reflects on overcoming hardship and personal struggle in relationships.
  • E. Losing It
    "Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15edbd1ec81908ef26b9e442d1921 completed April 29, 2026, 1:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1de3f350819087fcaf8ab9514673 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f835fcc8190863844a260a47ba9 completed May 18, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0b257ec8a481908bf6c6c0b722e702 completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:51 p.m.