Triple

T13600972
Position Surface form Disambiguated ID Type / Status
Subject Matangi E324938 entity
Predicate producer P490 FINISHED
Object R3hab
R3hab is a Dutch-Moroccan DJ and electronic music producer known for his big-room house tracks, festival performances, and high-profile remixes.
E1049242 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: R3hab | Statement: [Matangi, producer, R3hab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R3hab
Context triple: [Matangi, producer, R3hab]
  • A. R3
    R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
  • B. R3
    R3 is a commuter rail line in the Rodalies de Catalunya network that connects Barcelona with inland Catalan towns along the Llobregat and Ripollès corridors.
  • C. RBD
    RBD is a Mexican pop group that gained international fame in the mid-2000s through the telenovela "Rebelde" and a series of hit albums and tours.
  • D. RBD
    RBD is the three-letter IATA airport code assigned to Dallas Executive Airport in Dallas, Texas.
  • E. R 337
    R 337 is the hull number assigned to NOAA Ship Okeanos Explorer, a U.S. National Oceanic and Atmospheric Administration vessel dedicated to ocean exploration and research.
  • 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: R3hab
Triple: [Matangi, producer, R3hab]
Generated description
R3hab is a Dutch-Moroccan DJ and electronic music producer known for his big-room house tracks, festival performances, and high-profile remixes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: R3hab
Target entity description: R3hab is a Dutch-Moroccan DJ and electronic music producer known for his big-room house tracks, festival performances, and high-profile remixes.
  • A. R3
    R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
  • B. R3
    R3 is a commuter rail line in the Rodalies de Catalunya network that connects Barcelona with inland Catalan towns along the Llobregat and Ripollès corridors.
  • C. RBD
    RBD is a Mexican pop group that gained international fame in the mid-2000s through the telenovela "Rebelde" and a series of hit albums and tours.
  • D. RBD
    RBD is the three-letter IATA airport code assigned to Dallas Executive Airport in Dallas, Texas.
  • E. R 337
    R 337 is the hull number assigned to NOAA Ship Okeanos Explorer, a U.S. National Oceanic and Atmospheric Administration vessel dedicated to ocean exploration and research.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcc1ed88190bbf6c83001703b84 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f776449724819096d5363184839e66 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792110e48190a29b6e89c6ebcc03 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.