Triple
T15973323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Kimmel |
E387376
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Katie Kimmel |
E1186431
|
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: Katie Kimmel | Statement: [Jimmy Kimmel, child, Katie Kimmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Kimmel Context triple: [Jimmy Kimmel, child, Katie Kimmel]
-
A.
Ariel Shaffir
Ariel Shaffir is a screenwriter and producer best known for co-writing films like "This Is the End" and "The Interview" and for co-creating the sci-fi comedy series "Future Man."
-
B.
Abbi Jacobson
Abbi Jacobson is an American comedian, writer, and actress best known as the co-creator and star of the television series "Broad City."
-
C.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
-
D.
Gina Kimmel
chosen
Gina Kimmel is an American costume designer and television personality best known as the ex-wife of comedian and late-night talk show host Jimmy Kimmel.
-
E.
Katie Albright
Katie Albright is an American nonprofit leader and child advocacy expert known for her work advancing children's mental health and family support services.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c76c988190a2f2bb4b6ac5ef25 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.