Triple
T10598012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catelynn Lowell |
E275667
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Catelynn Lowell |
E275667
|
NE FINISHED |
How this triple was built (2 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: Catelynn Lowell | Statement: [Catelynn Lowell, name, Catelynn Lowell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catelynn Lowell Context triple: [Catelynn Lowell, name, Catelynn Lowell]
-
A.
Catelynn Lowell
chosen
Catelynn Lowell is an American reality television personality best known for sharing her experiences with adoption, motherhood, and mental health on MTV’s 16 and Pregnant and Teen Mom.
-
B.
Katie Lopez
Katie Lopez is a singer known for performing the song "Do You Want to Build a Snowman?" from Disney's animated film Frozen.
-
C.
Jamie-Lynn Sigler
Jamie-Lynn Sigler is an American actress best known for playing Meadow Soprano on the acclaimed HBO series "The Sopranos."
-
D.
Kristin Cavallari
Kristin Cavallari is an American television personality, fashion entrepreneur, and author who first gained fame on the reality series "Laguna Beach: The Real Orange County" and "The Hills."
-
E.
Brooke Baldwin
Brooke Baldwin is an American journalist and television news anchor best known for her longtime work with CNN, including hosting major live events and daytime news programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded358248190ba9268a51b2805fc |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e9c1a7c8190a91ad479518e411f |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:28 p.m.