Triple
T6949110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Ford |
E160874
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Krista Ford
Krista Ford is a Canadian former women's football player and public figure known as the daughter of Ontario Premier Doug Ford.
|
E659716
|
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: Krista Ford | Statement: [Doug Ford, hasRelative, Krista Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krista Ford Context triple: [Doug Ford, hasRelative, Krista Ford]
-
A.
Kristi Bonnett
Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
-
B.
Lindsay Ford
Lindsay Ford is an individual known primarily in relation to Karla Saaranen, about whom limited public information is available.
-
C.
Kristin Burr
Kristin Burr is a film producer known for her work on major studio projects, including Disney live-action adaptations such as "Cruella."
-
D.
Krista Harmon
Krista Harmon is a member of the Harmon family, known for her connection to American actress and artist Kristin Harmon.
-
E.
Christy Krall
Christy Krall is an American figure skating coach and former competitive skater known for her technical expertise and work with elite athletes.
- 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: Krista Ford Triple: [Doug Ford, hasRelative, Krista Ford]
Generated description
Krista Ford is a Canadian former women's football player and public figure known as the daughter of Ontario Premier Doug Ford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krista Ford Target entity description: Krista Ford is a Canadian former women's football player and public figure known as the daughter of Ontario Premier Doug Ford.
-
A.
Kristi Bonnett
Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
-
B.
Lindsay Ford
Lindsay Ford is an individual known primarily in relation to Karla Saaranen, about whom limited public information is available.
-
C.
Kristin Burr
Kristin Burr is a film producer known for her work on major studio projects, including Disney live-action adaptations such as "Cruella."
-
D.
Krista Harmon
Krista Harmon is a member of the Harmon family, known for her connection to American actress and artist Kristin Harmon.
-
E.
Christy Krall
Christy Krall is an American figure skating coach and former competitive skater known for her technical expertise and work with elite athletes.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daad028c8190a6db5b2d029d4dfc |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8029da4688190ae479d3f791aa1c2 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 2:28 p.m.