Triple
T8978557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Androuet du Cerceau |
E214461
|
entity |
| Predicate | hasStudentOrFollower |
P44468
|
FINISHED |
| Object | Androuet du Cerceau family of architects |
—
|
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: Androuet du Cerceau family of architects | Statement: [Jacques Androuet du Cerceau, hasStudentOrFollower, Androuet du Cerceau family of architects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOrFollower Context triple: [Jacques Androuet du Cerceau, hasStudentOrFollower, Androuet du Cerceau family of architects]
-
A.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
notableStudentOrFollower
chosen
Indicates that one entity is a notable student or follower of another entity, highlighting a significant mentor–disciple or influence relationship between them.
-
D.
hasStudentCategory
Indicates that an entity is classified under a specific category or type of student.
-
E.
hasFollowers
Indicates that an entity is followed or subscribed to by one or more other entities.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.