Triple
T14467285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gijs Bakker |
E358745
|
entity |
| Predicate | roleAtDesignAcademyEindhoven |
P114759
|
FINISHED |
| Object | head of jewelry department |
—
|
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: head of jewelry department | Statement: [Gijs Bakker, roleAtDesignAcademyEindhoven, head of jewelry department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtDesignAcademyEindhoven Context triple: [Gijs Bakker, roleAtDesignAcademyEindhoven, head of jewelry department]
-
A.
hasEducationalDesignation
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
B.
hasArtAndDesignSchool
Indicates that an entity possesses, hosts, or includes an art and design school as part of its structure or offerings.
-
C.
courseDesigner
Indicates that one entity is responsible for creating, planning, or structuring the content and format of a course for another entity.
-
D.
designedBySchool
Indicates that something was created, planned, or developed by a particular school or educational institution.
-
E.
designedForInstitution
Indicates that something was specifically created, intended, or tailored to be used by or within a particular institution.
- F. None of above. chosen
Provenance (4 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f8613c819080424104c0b7f4c3 |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:19 a.m.