Triple

T19553856
Position Surface form Disambiguated ID Type / Status
Subject Paperwork E489257 entity
Predicate producer P490 FINISHED
Object Keno
Keno is a music producer known for his work on the track "Paperwork."
 E1383422 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: Keno | Statement: [Paperwork, producer, Keno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keno
Context triple: [Paperwork, producer, Keno]
  • A. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • B. Bingo
    Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
  • C. Roulette
    Roulette is a popular casino game of chance in which players bet on where a ball will land on a spinning numbered wheel.
  • D. TOTO
    TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
  • E. TOTO
    TOTO is an American rock band best known for its polished musicianship and hits like "Africa," "Rosanna," and "Hold the 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: Keno
Triple: [Paperwork, producer, Keno]
Generated description
Keno is a music producer known for his work on the track "Paperwork."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keno
Target entity description: Keno is a music producer known for his work on the track "Paperwork."
  • A. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • B. Bingo
    Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
  • C. Roulette
    Roulette is a popular casino game of chance in which players bet on where a ball will land on a spinning numbered wheel.
  • D. TOTO
    TOTO is the commonly used abbreviation for the Tongue of the Ocean, a deep, U-shaped submarine trench in the Bahamas.
  • E. TOTO
    TOTO is an American rock band best known for its polished musicianship and hits like "Africa," "Rosanna," and "Hold the 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d3254548190828a5f7e9a851ef8 completed April 20, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07577c5adc8190999227c0230dd693 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07598afe80819096b6be67b9051814 completed May 15, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0759f38b5481909f5dac913206f132 completed May 15, 2026, 5:37 p.m.
Created at: April 10, 2026, 1:41 p.m.