Triple
T37736355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guizong Zhichang |
E940286
|
entity |
| Predicate | teacherIn |
P176538
|
FINISHED |
| Object | Hongzhou school |
—
|
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: Hongzhou school | Statement: [Guizong Zhichang, teacherIn, Hongzhou school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teacherIn Context triple: [Guizong Zhichang, teacherIn, Hongzhou school]
-
A.
teacherInText
Indicates that an entity functions as a teacher within the context or narrative of a given text.
-
B.
teacherInScene
chosen
Indicates that an entity is acting in the role of a teacher within a particular scene or context.
-
C.
teacherOrInfluence
Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
-
D.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
E.
isTaughtTo
Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
- F. None of above.
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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.