Triple
T15958063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenderly |
E386986
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Walter Gross
Walter Gross was an American pianist and composer best known for writing the jazz and pop standard "Tenderly."
|
E1229229
|
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: Walter Gross | Statement: [Tenderly, composer, Walter Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Gross Context triple: [Tenderly, composer, Walter Gross]
-
A.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
B.
Walter Ochs
Walter Ochs is an individual notable enough to be recognized as a bearer of the surname Ochs, though specific widely known biographical details about him are not clearly established.
-
C.
Louis Gruenberg
Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
-
D.
Walter Scharf
Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
-
E.
Walter Wottitz
Walter Wottitz was a French cinematographer best known for his Academy Award-winning work on the World War II epic film "The Longest Day."
- 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: Walter Gross Triple: [Tenderly, composer, Walter Gross]
Generated description
Walter Gross was an American pianist and composer best known for writing the jazz and pop standard "Tenderly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Gross Target entity description: Walter Gross was an American pianist and composer best known for writing the jazz and pop standard "Tenderly."
-
A.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
B.
Walter Ochs
Walter Ochs is an individual notable enough to be recognized as a bearer of the surname Ochs, though specific widely known biographical details about him are not clearly established.
-
C.
Louis Gruenberg
Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
-
D.
Walter Scharf
Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
-
E.
Walter Wottitz
Walter Wottitz was a French cinematographer best known for his Academy Award-winning work on the World War II epic film "The Longest Day."
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fd7ce08190b5db4b486ccb6e40 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009183a94081909c5892b1ccbc1d7a |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 4:53 a.m.