Triple

T15409055
Position Surface form Disambiguated ID Type / Status
Subject Hustlin' E368534 entity
Predicate writer P1360 FINISHED
Object Andrew Harr
Andrew Harr is a songwriter and music producer best known as one half of the production duo The Runners, who have worked on numerous hip-hop and R&B hits.
E1164160 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: Andrew Harr | Statement: [Hustlin', writer, Andrew Harr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Harr
Context triple: [Hustlin', writer, Andrew Harr]
  • A. John Harron
    John Harron was an American film actor of the silent and early sound era, known for appearing in numerous supporting roles during the 1920s and 1930s.
  • B. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • C. Andrew Herr
    Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
  • D. Andrew Hynes
    Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
  • E. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • 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: Andrew Harr
Triple: [Hustlin', writer, Andrew Harr]
Generated description
Andrew Harr is a songwriter and music producer best known as one half of the production duo The Runners, who have worked on numerous hip-hop and R&B hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Harr
Target entity description: Andrew Harr is a songwriter and music producer best known as one half of the production duo The Runners, who have worked on numerous hip-hop and R&B hits.
  • A. John Harron
    John Harron was an American film actor of the silent and early sound era, known for appearing in numerous supporting roles during the 1920s and 1930s.
  • B. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • C. Andrew Herr
    Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
  • D. Andrew Hynes
    Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
  • E. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4546959081909f94449c0028ca3e completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff49541fcc8190a1d22721bc255e19 completed May 9, 2026, 2:48 p.m.
NED2 Entity disambiguation (via description) batch_69ff49f6db508190b0127a59d332512e completed May 9, 2026, 2:51 p.m.
Created at: April 10, 2026, 3:20 a.m.