Triple
T16987293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mattingly |
E412100
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kim Sexton
Kim Sexton is best known as the wife of former New York Yankees All-Star first baseman and manager Don Mattingly.
|
E1244345
|
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: Kim Sexton | Statement: [Don Mattingly, spouse, Kim Sexton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Sexton Context triple: [Don Mattingly, spouse, Kim Sexton]
-
A.
Shaun Sutton
Shaun Sutton was a prominent British television producer and BBC executive best known for overseeing and shaping many acclaimed drama productions during the mid-20th century.
-
B.
Jon Trickett
Jon Trickett is a British Labour Party politician and long-serving Member of Parliament known for his work on left-wing policy and party organization.
-
C.
Mike Brereton
Mike Brereton is an athlete known for playing with the sports team The Warriors.
-
D.
Kevin Fogarty
Kevin Fogarty is a notable individual recognized for achievements significant enough to be recorded under the surname Fogarty.
-
E.
Chris Kimsey
Chris Kimsey is a British record producer and audio engineer best known for his extensive work with rock bands such as The Rolling Stones and Marillion.
- 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: Kim Sexton Triple: [Don Mattingly, spouse, Kim Sexton]
Generated description
Kim Sexton is best known as the wife of former New York Yankees All-Star first baseman and manager Don Mattingly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Sexton Target entity description: Kim Sexton is best known as the wife of former New York Yankees All-Star first baseman and manager Don Mattingly.
-
A.
Shaun Sutton
Shaun Sutton was a prominent British television producer and BBC executive best known for overseeing and shaping many acclaimed drama productions during the mid-20th century.
-
B.
Jon Trickett
Jon Trickett is a British Labour Party politician and long-serving Member of Parliament known for his work on left-wing policy and party organization.
-
C.
Mike Brereton
Mike Brereton is an athlete known for playing with the sports team The Warriors.
-
D.
Kevin Fogarty
Kevin Fogarty is a notable individual recognized for achievements significant enough to be recorded under the surname Fogarty.
-
E.
Chris Kimsey
Chris Kimsey is a British record producer and audio engineer best known for his extensive work with rock bands such as The Rolling Stones and Marillion.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc12e308819093e7f8933cdd6ba9 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.