Triple

T3120571
Position Surface form Disambiguated ID Type / Status
Subject The Tipping Point E65172 entity
Predicate hasTrack P3284 FINISHED
Object Din Da Da
"Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
 E328463 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: Din Da Da | Statement: [The Tipping Point, hasTrack, Din Da Da]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Din Da Da
Context triple: [The Tipping Point, hasTrack, Din Da Da]
  • A. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • B. Dawan
    Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
  • C. Den Den Town
    Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, game shops, and discount electronics stores.
  • D. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • E. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • 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: Din Da Da
Triple: [The Tipping Point, hasTrack, Din Da Da]
Generated description
"Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Din Da Da
Target entity description: "Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
  • A. Doo-Dah
    Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
  • B. Dawan
    Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
  • C. Den Den Town
    Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, game shops, and discount electronics stores.
  • D. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • E. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5295cd481908d52e165538c67fa completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f6bc644819093a7cab7220f4ca0 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b21065c6208190bde60417ba23997b completed March 12, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69b210c280ec819081ded9261dc59cf3 completed March 12, 2026, 1:02 a.m.
Created at: March 8, 2026, 3:04 p.m.