Triple
T13613984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild One |
E325263
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Will Rambeaux
Will Rambeaux is an American country music songwriter and producer known for penning hits for prominent Nashville artists.
|
E1050744
|
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: Will Rambeaux | Statement: [Wild One, writer, Will Rambeaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Rambeaux Context triple: [Wild One, writer, Will Rambeaux]
-
A.
James Ramseur
James Ramseur was one of the four teenagers shot and wounded by Bernhard Goetz in the highly publicized 1984 New York City subway shooting.
-
B.
Pene Delmage
Pene Delmage is a British travel agent and the widow of acclaimed English actor Albert Finney.
-
C.
Jerome Caminada
Jerome Caminada was a famed 19th-century Manchester police detective, often dubbed the "Victorian Sherlock Holmes" for his innovative and high-profile crime-solving work.
-
D.
Jay Ruais
Jay Ruais is an American politician who serves as the mayor of Manchester, New Hampshire.
-
E.
Ian LeFeuvre
Ian LeFeuvre is a Canadian composer, songwriter, and producer known for his work in film, television, and popular music.
- 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: Will Rambeaux Triple: [Wild One, writer, Will Rambeaux]
Generated description
Will Rambeaux is an American country music songwriter and producer known for penning hits for prominent Nashville artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Rambeaux Target entity description: Will Rambeaux is an American country music songwriter and producer known for penning hits for prominent Nashville artists.
-
A.
James Ramseur
James Ramseur was one of the four teenagers shot and wounded by Bernhard Goetz in the highly publicized 1984 New York City subway shooting.
-
B.
Pene Delmage
Pene Delmage is a British travel agent and the widow of acclaimed English actor Albert Finney.
-
C.
Jerome Caminada
Jerome Caminada was a famed 19th-century Manchester police detective, often dubbed the "Victorian Sherlock Holmes" for his innovative and high-profile crime-solving work.
-
D.
Jay Ruais
Jay Ruais is an American politician who serves as the mayor of Manchester, New Hampshire.
-
E.
Ian LeFeuvre
Ian LeFeuvre is a Canadian composer, songwriter, and producer known for his work in film, television, and popular music.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78058d4c88190be75e0a38cdc20da |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7815a858c8190a9ae47012d04f8e1 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.