Triple
T5609348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Brown |
E147312
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Katie Blackburn |
E537002
|
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 Blackburn | Statement: [Mike Brown, hasChild, Katie Blackburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Blackburn Context triple: [Mike Brown, hasChild, Katie Blackburn]
-
A.
Katie Blackburn
chosen
Katie Blackburn is an American football executive who serves as the executive vice president of the Cincinnati Bengals and is one of the most prominent female leaders in the NFL.
-
B.
Katie Leyland
Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
-
C.
Katie Irving
Katie Irving is known primarily as the daughter of American theater director and producer Jules Irving.
-
D.
Katie Lucas
Katie Lucas is an American screenwriter and actress best known for her work on the animated series "Star Wars: The Clone Wars" and as the daughter of filmmaker George Lucas.
-
E.
Kimberlea Cloughley
Kimberlea Cloughley is an American photographer best known for her marriage to actor Tommy Lee Jones.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fe7ee0819088ced51afd9a4f93 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a074b7c8190ab70dde6f35f84d6 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:39 p.m.