Triple
T27051428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mei school |
E684781
|
entity |
| Predicate | hasStudentLineage |
P77522
|
FINISHED |
| Object | disciples of Mei Lanfang |
—
|
LITERAL 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: disciples of Mei Lanfang | Statement: [Mei school, hasStudentLineage, disciples of Mei Lanfang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentLineage Context triple: [Mei school, hasStudentLineage, disciples of Mei Lanfang]
-
A.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasLineageMember
chosen
Indicates that one entity is a member or descendant within the lineage or ancestral line of another entity.
-
C.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
D.
hadPupilsFrom
Indicates that an entity served as a teacher or mentor to the specified pupils.
-
E.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 27, 2026, 8:14 a.m.