Triple
T15958042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under a Blanket of Blue |
E386985
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Marty Symes
Marty Symes was an American lyricist known for writing words to popular jazz and pop standards in the mid-20th century.
|
E1188280
|
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: Marty Symes | Statement: [Under a Blanket of Blue, lyricist, Marty Symes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marty Symes Context triple: [Under a Blanket of Blue, lyricist, Marty Symes]
-
A.
Glen Massey
Glen Massey is a small rural settlement in New Zealand known historically for its coal mining activities.
-
B.
Marty Barrett
Marty Barrett is a former Major League Baseball second baseman best known for his standout postseason performance with the Boston Red Sox in the mid-1980s.
-
C.
Michele Timms
Michele Timms is a pioneering Australian basketball point guard renowned for her international success and trailblazing role in women’s professional basketball.
-
D.
Marty Page
Marty Page is a fictional character known as the son of Neil Page in the 1987 comedy film "Planes, Trains and Automobiles."
-
E.
Alan Sampson
Alan Sampson is a British music producer and songwriter known for his work in contemporary R&B and pop, including collaborations with artists such as Jay Sean.
- 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: Marty Symes Triple: [Under a Blanket of Blue, lyricist, Marty Symes]
Generated description
Marty Symes was an American lyricist known for writing words to popular jazz and pop standards in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marty Symes Target entity description: Marty Symes was an American lyricist known for writing words to popular jazz and pop standards in the mid-20th century.
-
A.
Glen Massey
Glen Massey is a small rural settlement in New Zealand known historically for its coal mining activities.
-
B.
Marty Barrett
Marty Barrett is a former Major League Baseball second baseman best known for his standout postseason performance with the Boston Red Sox in the mid-1980s.
-
C.
Michele Timms
Michele Timms is a pioneering Australian basketball point guard renowned for her international success and trailblazing role in women’s professional basketball.
-
D.
Marty Page
Marty Page is a fictional character known as the son of Neil Page in the 1987 comedy film "Planes, Trains and Automobiles."
-
E.
Alan Sampson
Alan Sampson is a British music producer and songwriter known for his work in contemporary R&B and pop, including collaborations with artists such as Jay Sean.
- 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_69ffc3c3aae081909366c01b3fec4d47 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ba0a988190b1d93ce6479bac88 |
completed | May 9, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.