Triple
T17172111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Fresh, So Clean |
E416759
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Eugene Hanes
Eugene Hanes is a songwriter best known for co-writing the hit hip-hop track "So Fresh, So Clean" popularized by OutKast.
|
E1253308
|
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: Eugene Hanes | Statement: [So Fresh, So Clean, writer, Eugene Hanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene Hanes Context triple: [So Fresh, So Clean, writer, Eugene Hanes]
-
A.
Luther Hanes
Luther Hanes is a music producer best known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
B.
Ellis Gamble
Ellis Gamble was a London goldsmith and engraver best known today as the master under whom the artist William Hogarth served his apprenticeship.
-
C.
Clifton C. Williams Jr.
Clifton C. Williams Jr. was a U.S. Marine Corps officer and NASA astronaut selected in the 1960s who tragically died in a plane crash before flying in space.
-
D.
Thomas S. Candler
Thomas S. Candler was an American jurist who served as a justice on the Supreme Court of Georgia in the mid-20th century.
-
E.
Anson Mills
Anson Mills was a U.S. Army officer and later brigadier general known for his service in the Indian Wars and for inventing the woven cartridge belt.
- 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: Eugene Hanes Triple: [So Fresh, So Clean, writer, Eugene Hanes]
Generated description
Eugene Hanes is a songwriter best known for co-writing the hit hip-hop track "So Fresh, So Clean" popularized by OutKast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eugene Hanes Target entity description: Eugene Hanes is a songwriter best known for co-writing the hit hip-hop track "So Fresh, So Clean" popularized by OutKast.
-
A.
Luther Hanes
Luther Hanes is a music producer best known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
B.
Ellis Gamble
Ellis Gamble was a London goldsmith and engraver best known today as the master under whom the artist William Hogarth served his apprenticeship.
-
C.
Clifton C. Williams Jr.
Clifton C. Williams Jr. was a U.S. Marine Corps officer and NASA astronaut selected in the 1960s who tragically died in a plane crash before flying in space.
-
D.
Thomas S. Candler
Thomas S. Candler was an American jurist who served as a justice on the Supreme Court of Georgia in the mid-20th century.
-
E.
Anson Mills
Anson Mills was a U.S. Army officer and later brigadier general known for his service in the Indian Wars and for inventing the woven cartridge belt.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148415c788190a4248b097f323d03 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a0148efb45081908734c785d8fb833a |
completed | May 11, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01495631588190a0670ca71dee7b36 |
completed | May 11, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:37 a.m.