Triple
T11878312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Awakening |
E282587
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Steven Sater
Steven Sater is an American playwright, poet, and lyricist best known for co-creating the Tony Award–winning rock musical "Spring Awakening."
|
E956556
|
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: Steven Sater | Statement: [Spring Awakening, lyricist, Steven Sater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Sater Context triple: [Spring Awakening, lyricist, Steven Sater]
-
A.
Ed Schafer
Ed Schafer is an American politician and businessman who served as Governor of North Dakota and later as the United States Secretary of Agriculture under President George W. Bush.
-
B.
Scott Thaler
Scott Thaler is a film producer known for his work on the movie "The Silence."
-
C.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
D.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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: Steven Sater Triple: [Spring Awakening, lyricist, Steven Sater]
Generated description
Steven Sater is an American playwright, poet, and lyricist best known for co-creating the Tony Award–winning rock musical "Spring Awakening."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Sater Target entity description: Steven Sater is an American playwright, poet, and lyricist best known for co-creating the Tony Award–winning rock musical "Spring Awakening."
-
A.
Ed Schafer
Ed Schafer is an American politician and businessman who served as Governor of North Dakota and later as the United States Secretary of Agriculture under President George W. Bush.
-
B.
Scott Thaler
Scott Thaler is a film producer known for his work on the movie "The Silence."
-
C.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
D.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45854b27c81909304aee5e612f934 |
completed | May 1, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69f45f86349c81909a806fd7be4008e9 |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4647ee1748190975bce3bbf51a3bc |
completed | May 1, 2026, 8:29 a.m. |
Created at: April 8, 2026, 9:44 p.m.