Triple

T19085302
Position Surface form Disambiguated ID Type / Status
Subject La Di Da Di E467131 entity
Predicate sampledIn P13406 FINISHED
Object Lodi Dodi
Lodi Dodi is a hip hop track best known for its influential storytelling style and widespread sampling in later rap and pop music.
 E1356910 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: Lodi Dodi | Statement: [La Di Da Di, sampledIn, Lodi Dodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lodi Dodi
Context triple: [La Di Da Di, sampledIn, Lodi Dodi]
  • A. Doshi
    Doshi is an Indian surname notably associated with the acclaimed architect and Pritzker Prize laureate Balkrishna Doshi.
  • B. Doshi
    Doshi is a town in northern Afghanistan that serves as a local administrative and commercial center in Baghlan Province.
  • C. Sardula
    Sardula was a prominent American Thoroughbred racehorse known for her success on the track in the early 1990s.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Edhi
    Edhi is a renowned Pakistani surname most famously associated with Abdul Sattar Edhi, the humanitarian and founder of one of the world’s largest volunteer ambulance and social welfare 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: Lodi Dodi
Triple: [La Di Da Di, sampledIn, Lodi Dodi]
Generated description
Lodi Dodi is a hip hop track best known for its influential storytelling style and widespread sampling in later rap and pop music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lodi Dodi
Target entity description: Lodi Dodi is a hip hop track best known for its influential storytelling style and widespread sampling in later rap and pop music.
  • A. Doshi
    Doshi is an Indian surname notably associated with the acclaimed architect and Pritzker Prize laureate Balkrishna Doshi.
  • B. Doshi
    Doshi is a town in northern Afghanistan that serves as a local administrative and commercial center in Baghlan Province.
  • C. Sardula
    Sardula was a prominent American Thoroughbred racehorse known for her success on the track in the early 1990s.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Edhi
    Edhi is a renowned Pakistani surname most famously associated with Abdul Sattar Edhi, the humanitarian and founder of one of the world’s largest volunteer ambulance and social welfare 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e346f57c8190a6299e09a0be9e05 completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3663f748190bec29d54c6b86277 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d3fe45c881908622e745b66abfd2 completed May 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a05d4b2292c8190bd4cd73969c610d8 completed May 14, 2026, 1:57 p.m.
Created at: April 10, 2026, 12:04 p.m.