Triple
T20367525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Baldwin |
E496952
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kelly Baldwin |
—
|
NE NERFINISHED |
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: Kelly Baldwin | Statement: [Edward Baldwin, child, Kelly Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Baldwin Context triple: [Edward Baldwin, child, Kelly Baldwin]
-
A.
Kelly Baldwin
chosen
Kelly Baldwin is an American woman best known as the longtime partner and wife of *NSYNC singer and television personality Joey Fatone.
-
B.
Hailey Baldwin
Hailey Baldwin is an American model and media personality who gained widespread recognition for her high-profile fashion work and marriage to pop star Justin Bieber.
-
C.
Hilaria Baldwin
Hilaria Baldwin is a yoga instructor, wellness personality, and author known for her marriage to actor Alec Baldwin and her presence in American media and social circles.
-
D.
Kennya Baldwin
Kennya Baldwin is a Brazilian-born graphic designer and artist best known as the wife of actor Stephen Baldwin and the mother of model Hailey Bieber.
-
E.
Lou Taylor Pucci
Lou Taylor Pucci is an American actor known for his roles in independent films such as "Thumbsucker" and "Evil Dead," as well as his work in television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.