Triple

T13830775
Position Surface form Disambiguated ID Type / Status
Subject Unpredictable E332390 entity
Predicate producer P490 FINISHED
Object Mr. Green
Mr. Green is a music producer known for his eclectic, sample-heavy hip-hop beats and collaborations across underground and mainstream rap scenes.
 E332388 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: Mr. Green | Statement: [Unpredictable, producer, Mr. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. Green
Context triple: [Unpredictable, producer, Mr. Green]
  • A. Mr. Green
    Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • B. Mr. Green
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • C. Mr. G
    Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
  • D. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • E. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • 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: Mr. Green
Triple: [Unpredictable, producer, Mr. Green]
Generated description
Mr. Green is a music producer known for his eclectic, sample-heavy hip-hop beats and collaborations across underground and mainstream rap scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. Green
Target entity description: Mr. Green is a music producer known for his eclectic, sample-heavy hip-hop beats and collaborations across underground and mainstream rap scenes.
  • A. Mr. Green chosen
    Mr. Green is a musical act associated with Malik B., known for its work in hip-hop.
  • B. Mr. Green
    Mr. Green is one of the central hijackers in the thriller novel and film "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • C. Mr. G
    Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
  • D. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • E. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • F. None of above.

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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0eb7f44819087b1d24e4235a972 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c18a032481909fc1e97883062170 completed May 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69f7c21231f48190ae6e2bdb2bbc0afd completed May 3, 2026, 9:45 p.m.
Created at: April 9, 2026, 10:13 p.m.