Triple
T8898827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palgrave Academy |
E211872
|
entity |
| Predicate | hadRoleAtInstitution |
P38510
|
FINISHED |
| Object | Anna Laetitia Barbauld – teacher and administrator |
—
|
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: Anna Laetitia Barbauld – teacher and administrator | Statement: [Palgrave Academy, hadRoleAtInstitution, Anna Laetitia Barbauld – teacher and administrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRoleAtInstitution Context triple: [Palgrave Academy, hadRoleAtInstitution, Anna Laetitia Barbauld – teacher and administrator]
-
A.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
B.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
C.
hadAlumniRole
Indicates that an entity previously held a role or position as an alumnus/alumna of another entity (such as an institution or organization).
-
D.
hadFacultyFrom
Indicates that an educational institution employed or was associated with faculty members originating from a specified place or institution.
-
E.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642618908190b3df50cbbabff93d |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.