Triple
T21150329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John’s College |
E521169
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | H. H. Kung |
—
|
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: H. H. Kung | Statement: [St. John’s College, notableAlumni, H. H. Kung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. H. Kung Context triple: [St. John’s College, notableAlumni, H. H. Kung]
-
A.
H. H. Kung
chosen
H. H. Kung was a prominent Chinese banker and politician who served as finance minister and premier of the Republic of China during the Nationalist government era.
-
B.
Yuan-Cheng Fung
Yuan-Cheng Fung was a pioneering bioengineer often regarded as the "father of modern biomechanics" for his foundational contributions to the mechanics of living tissues.
-
C.
Pao-Chi Chang
Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
-
D.
S. H. Ho
S. H. Ho was a prominent Hong Kong businessman and philanthropist whose donations significantly supported higher education institutions.
-
E.
C. Y. Lee
C. Y. Lee was a Chinese-American novelist best known for his 1957 book "The Flower Drum Song," which was adapted into a successful Rodgers and Hammerstein musical and film.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.