Triple
T6255198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKenzie Porter |
E140144
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jake Etheridge
Jake Etheridge is an American singer-songwriter and actor known for his work in country and Americana music as well as for his songwriting contributions to film and television.
|
E580211
|
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: Jake Etheridge | Statement: [MacKenzie Porter, spouse, Jake Etheridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Etheridge Context triple: [MacKenzie Porter, spouse, Jake Etheridge]
-
A.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
B.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
C.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Ethan Buckler
Ethan Buckler is an American musician best known as the original bassist for the influential post-rock band Slint.
- 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: Jake Etheridge Triple: [MacKenzie Porter, spouse, Jake Etheridge]
Generated description
Jake Etheridge is an American singer-songwriter and actor known for his work in country and Americana music as well as for his songwriting contributions to film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Etheridge Target entity description: Jake Etheridge is an American singer-songwriter and actor known for his work in country and Americana music as well as for his songwriting contributions to film and television.
-
A.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
B.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
C.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Ethan Buckler
Ethan Buckler is an American musician best known as the original bassist for the influential post-rock band Slint.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06363d6008190bf05e003b1f74497 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2443138788190835ed3fd99f21827 |
completed | March 24, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c4fb6bb9bc8190a29ae09221aa5464 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc075dd881908230bb66d1445d5a |
completed | March 26, 2026, 9:27 a.m. |
Created at: March 22, 2026, 4:24 p.m.