Triple

T3544613
Position Surface form Disambiguated ID Type / Status
Subject Undun E74964 entity
Predicate featuresArtist P1952 FINISHED
Object Greg Porn
Greg Porn is an American rapper known for his collaborations with The Roots, including his featured appearance on their album "Undun."
E368248 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: Greg Porn | Statement: [Undun, featuresArtist, Greg Porn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Porn
Context triple: [Undun, featuresArtist, Greg Porn]
  • A. Ron Jeremy
    Ron Jeremy is an American former adult film actor who became one of the most recognizable and controversial figures in the pornography industry.
  • B. Jeff Groth
    Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
  • C. Gary Portnoy
    Gary Portnoy is an American singer-songwriter best known for co-writing and performing the iconic theme song to the television sitcom "Cheers."
  • D. John Melvin
    John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
  • E. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • 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: Greg Porn
Triple: [Undun, featuresArtist, Greg Porn]
Generated description
Greg Porn is an American rapper known for his collaborations with The Roots, including his featured appearance on their album "Undun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greg Porn
Target entity description: Greg Porn is an American rapper known for his collaborations with The Roots, including his featured appearance on their album "Undun."
  • A. Ron Jeremy
    Ron Jeremy is an American former adult film actor who became one of the most recognizable and controversial figures in the pornography industry.
  • B. Jeff Groth
    Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
  • C. Gary Portnoy
    Gary Portnoy is an American singer-songwriter best known for co-writing and performing the iconic theme song to the television sitcom "Cheers."
  • D. John Melvin
    John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
  • E. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdfe5748190b2de831635221ce1 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38fda21fc81909b9ded36239abf93 completed March 13, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_69b39049e9cc81909ad74d33afe1985e completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.