Triple
T16499359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoko Chan Cox |
E400761
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Anthony Cox |
E402983
|
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: Anthony Cox | Statement: [Kyoko Chan Cox, associatedWith, Anthony Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Cox Context triple: [Kyoko Chan Cox, associatedWith, Anthony Cox]
-
A.
Anthony Cox
chosen
Anthony Cox is an American jazz musician and film producer best known for his 1960s marriage and artistic collaboration with avant-garde artist Yoko Ono.
-
B.
Sean F. Cox
Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
-
C.
Nick Cox
Nick Cox is a musician best known as a former member of the American rock band Saving Abel.
-
D.
Jeff Cunningham
Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
-
E.
Anthony Czarnik
Anthony Czarnik is an American chemist and entrepreneur best known as a co-founder of the genomics company Illumina.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50665d081908c07fe3cb59088b3 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:14 a.m.