Triple

T1072548
Position Surface form Disambiguated ID Type / Status
Subject Nobody's Smiling E23361 entity
Predicate hasTrack P3284 FINISHED
Object Real
"Real" is a track by American rapper Common from his socially conscious hip-hop album "Nobody's Smiling."
 E123237 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: Real | Statement: [Nobody's Smiling, hasTrack, Real]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Real
Context triple: [Nobody's Smiling, hasTrack, Real]
  • A. Real Tone
    Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
  • B. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • C. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • D. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • E. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • 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: Real
Triple: [Nobody's Smiling, hasTrack, Real]
Generated description
"Real" is a track by American rapper Common from his socially conscious hip-hop album "Nobody's Smiling."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Real
Target entity description: "Real" is a track by American rapper Common from his socially conscious hip-hop album "Nobody's Smiling."
  • A. Real Tone
    Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
  • B. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • C. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • D. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • E. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9296c5c8190a3060fbfdf24f029 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a9af14819091d4f2578c6b1c02 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac434b7ea081909d5608831e29b5a9 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b393748190a5fa81b7ab7fa911 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.