Triple
T13500184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neeley Nolan |
E320865
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Katie Nolan
Katie Nolan is an American sports television host, podcast presenter, and comedian known for her work with ESPN and Fox Sports.
|
E1068453
|
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: Katie Nolan | Statement: [Neeley Nolan, mother, Katie Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Nolan Context triple: [Neeley Nolan, mother, Katie Nolan]
-
A.
Katie Nolan
Katie Nolan is a fictional character from Betty Smith's novel "A Tree Grows in Brooklyn," known as the hardworking, pragmatic mother of the Nolan family.
-
B.
Katie O’Connell
Katie O’Connell is a television producer best known for her work as an executive producer on various American talk and entertainment shows.
-
C.
Sarah O'Connell
Sarah O'Connell is the wife of British-Australian radio presenter and comedian Christian O'Connell.
-
D.
Katie Nic Aoidh
Katie Nic Aoidh is a central character in the romantic comedy film "The Decoy Bride," around whom much of the story’s island-set drama and humor revolves.
-
E.
Ellie Keegan
Ellie Keegan is the central protagonist of the film "Someone to Watch Over Me," around whom the story’s suspenseful and emotional events revolve.
- 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: Katie Nolan Triple: [Neeley Nolan, mother, Katie Nolan]
Generated description
Katie Nolan is an American sports television host, podcast presenter, and comedian known for her work with ESPN and Fox Sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katie Nolan Target entity description: Katie Nolan is an American sports television host, podcast presenter, and comedian known for her work with ESPN and Fox Sports.
-
A.
Katie Nolan
Katie Nolan is a fictional character from Betty Smith's novel "A Tree Grows in Brooklyn," known as the hardworking, pragmatic mother of the Nolan family.
-
B.
Katie O’Connell
Katie O’Connell is a television producer best known for her work as an executive producer on various American talk and entertainment shows.
-
C.
Sarah O'Connell
Sarah O'Connell is the wife of British-Australian radio presenter and comedian Christian O'Connell.
-
D.
Katie Nic Aoidh
Katie Nic Aoidh is a central character in the romantic comedy film "The Decoy Bride," around whom much of the story’s island-set drama and humor revolves.
-
E.
Ellie Keegan
Ellie Keegan is the central protagonist of the film "Someone to Watch Over Me," around whom the story’s suspenseful and emotional events revolve.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f78e088190a2d241042cfe615f |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 9:43 p.m.