Triple

T8788497
Position Surface form Disambiguated ID Type / Status
Subject Danny Howells E209100 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Deep Dish
Deep Dish is a Grammy-winning Iranian-American DJ and production duo known for their influential progressive house and remix work in the global electronic dance music scene.
 E757712 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: Deep Dish | Statement: [Danny Howells, hasCollaboratedWith, Deep Dish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deep Dish
Context triple: [Danny Howells, hasCollaboratedWith, Deep Dish]
  • A. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • B. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • C. Big Boy
    "Big Boy" is the first released song by the Jackson 5, marking the group's recording debut before they rose to international fame with Motown.
  • D. Dig In
    Dig In is a song by American rock musician Lenny Kravitz, known for its upbeat groove and positive, motivational lyrics.
  • E. Double Up
    Double Up is a 2007 studio album by R. Kelly that blends R&B and hip hop, featuring numerous guest artists and club-oriented tracks.
  • 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: Deep Dish
Triple: [Danny Howells, hasCollaboratedWith, Deep Dish]
Generated description
Deep Dish is a Grammy-winning Iranian-American DJ and production duo known for their influential progressive house and remix work in the global electronic dance music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deep Dish
Target entity description: Deep Dish is a Grammy-winning Iranian-American DJ and production duo known for their influential progressive house and remix work in the global electronic dance music scene.
  • A. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • B. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • C. Big Boy
    "Big Boy" is the first released song by the Jackson 5, marking the group's recording debut before they rose to international fame with Motown.
  • D. Dig In
    Dig In is a song by American rock musician Lenny Kravitz, known for its upbeat groove and positive, motivational lyrics.
  • E. Double Up
    Double Up is a 2007 studio album by R. Kelly that blends R&B and hip hop, featuring numerous guest artists and club-oriented tracks.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:43 p.m.