Triple
T12545304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Curry |
E299945
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
McKenzie Ross
McKenzie Ross is the daughter of American journalist and former NBC "Today" show co-anchor Ann Curry.
|
E989206
|
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: McKenzie Ross | Statement: [Ann Curry, hasChild, McKenzie Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McKenzie Ross Context triple: [Ann Curry, hasChild, McKenzie Ross]
-
A.
Mackenzie Matheson
Mackenzie Matheson is an individual notable enough to be specifically cited as a bearer of the surname Matheson.
-
B.
McKaley Miller
McKaley Miller is an American actress best known for her role as Rose Hattenbarger on the television series "Hart of Dixie."
-
C.
Aubrey McDonald
Aubrey McDonald is an individual notable enough to be recognized as a prominent bearer of the surname McDonald.
-
D.
Kyla Ross
Kyla Ross is an American artistic gymnast, Olympic gold medalist, and multiple-time NCAA champion who became one of the most decorated athletes in collegiate gymnastics history.
-
E.
Reagan Dunn
Reagan Dunn is an American attorney and politician who serves on the King County Council in Washington State and is known for his work on public safety and criminal justice issues.
- 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: McKenzie Ross Triple: [Ann Curry, hasChild, McKenzie Ross]
Generated description
McKenzie Ross is the daughter of American journalist and former NBC "Today" show co-anchor Ann Curry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McKenzie Ross Target entity description: McKenzie Ross is the daughter of American journalist and former NBC "Today" show co-anchor Ann Curry.
-
A.
Mackenzie Matheson
Mackenzie Matheson is an individual notable enough to be specifically cited as a bearer of the surname Matheson.
-
B.
McKaley Miller
McKaley Miller is an American actress best known for her role as Rose Hattenbarger on the television series "Hart of Dixie."
-
C.
Aubrey McDonald
Aubrey McDonald is an individual notable enough to be recognized as a prominent bearer of the surname McDonald.
-
D.
Kyla Ross
Kyla Ross is an American artistic gymnast, Olympic gold medalist, and multiple-time NCAA champion who became one of the most decorated athletes in collegiate gymnastics history.
-
E.
Reagan Dunn
Reagan Dunn is an American attorney and politician who serves on the King County Council in Washington State and is known for his work on public safety and criminal justice issues.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566f40c08190baec227fb660c948 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aa1bf48190a884e0dfce31e30e |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.