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.