Triple
T22559816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Johnson |
E557780
|
entity |
| Predicate | hasStudent |
P48
|
FINISHED |
| Object | Patrick Chan |
—
|
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: Patrick Chan | Statement: [Kathy Johnson, hasStudent, Patrick Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Chan Context triple: [Kathy Johnson, hasStudent, Patrick Chan]
-
A.
Patrick Chan
chosen
Patrick Chan is a Canadian figure skater renowned for his multiple World Championship titles and Olympic medals in men's singles.
-
B.
Yuzuru Hanyu
Yuzuru Hanyu is a Japanese figure skater widely regarded as one of the greatest in history, known for his Olympic gold medals and groundbreaking technical and artistic performances.
-
C.
Nathan Chen
Nathan Chen is an American figure skater and Olympic champion renowned for his technical mastery and multiple world titles in men's singles.
-
D.
Evan Lysacek
Evan Lysacek is an American figure skater and 2010 Olympic champion known for his powerful, technically consistent performances and world-class competitive record.
-
E.
Jamie Mazur
Jamie Mazur is an American businessman best known for his long-term relationship with Brazilian supermodel Alessandra Ambrosio.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.