Triple
T6750800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnets to Orpheus |
E154335
|
entity |
| Predicate | notableEnglishTranslators |
P34219
|
FINISHED |
| Object |
David Young
David Young is an American poet, translator, and literary critic known for his acclaimed English translations of Rainer Maria Rilke and other major poets.
|
E618599
|
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: David Young | Statement: [Sonnets to Orpheus, notableEnglishTranslators, David Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Young Context triple: [Sonnets to Orpheus, notableEnglishTranslators, David Young]
-
A.
David Young
David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
-
B.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
C.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
D.
Howard Young
Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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: David Young Triple: [Sonnets to Orpheus, notableEnglishTranslators, David Young]
Generated description
David Young is an American poet, translator, and literary critic known for his acclaimed English translations of Rainer Maria Rilke and other major poets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Young Target entity description: David Young is an American poet, translator, and literary critic known for his acclaimed English translations of Rainer Maria Rilke and other major poets.
-
A.
David Young
David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
-
B.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
C.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
D.
Howard Young
Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7c94bac8190ae4b236d1b04bec9 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a793cc8190b838806151851711 |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c7132017a881909a8f4a8d4635d53f |
completed | March 27, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c715cc0c9c8190aae641eaffa5bd7b |
completed | March 27, 2026, 11:42 p.m. |
Created at: March 27, 2026, 2:11 p.m.