Triple
T18263663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike McLintock |
E437426
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Wendy Keegan
Wendy Keegan is the wife of American sportscaster Mike McLintock.
|
E1368145
|
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: Wendy Keegan | Statement: [Mike McLintock, hasSpouse, Wendy Keegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Keegan Context triple: [Mike McLintock, hasSpouse, Wendy Keegan]
-
A.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
B.
Michelle Keegan
Michelle Keegan is an English actress best known for her long-running role as Tina McIntyre in the ITV soap opera "Coronation Street" and for starring in series such as "Our Girl" and "Brassic."
-
C.
Wendy Healy
Wendy Healy is a high-powered film executive juggling career ambition and family life in the television series "Lipstick Jungle."
-
D.
Kelly Kelleher
Kelly Kelleher is the protagonist of Joyce Carol Oates’s novel "Black Water," a young woman whose tragic encounter with a powerful politician mirrors the real-life Chappaquiddick incident.
-
E.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
- 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: Wendy Keegan Triple: [Mike McLintock, hasSpouse, Wendy Keegan]
Generated description
Wendy Keegan is the wife of American sportscaster Mike McLintock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wendy Keegan Target entity description: Wendy Keegan is the wife of American sportscaster Mike McLintock.
-
A.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
B.
Michelle Keegan
Michelle Keegan is an English actress best known for her long-running role as Tina McIntyre in the ITV soap opera "Coronation Street" and for starring in series such as "Our Girl" and "Brassic."
-
C.
Wendy Healy
Wendy Healy is a high-powered film executive juggling career ambition and family life in the television series "Lipstick Jungle."
-
D.
Kelly Kelleher
Kelly Kelleher is the protagonist of Joyce Carol Oates’s novel "Black Water," a young woman whose tragic encounter with a powerful politician mirrors the real-life Chappaquiddick incident.
-
E.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e5577d08190875d8a408ca80e51 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f388fb88190ba66f6b61db40d92 |
completed | May 15, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071018f61881908ace460b83dac186 |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 10:34 a.m.