Triple
T5716032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. Mitchell Palmer |
E126023
|
entity |
| Predicate | almaMaterRole |
P38510
|
FINISHED |
| Object | trustee of Swarthmore College |
—
|
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: trustee of Swarthmore College | Statement: [A. Mitchell Palmer, almaMaterRole, trustee of Swarthmore College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: almaMaterRole Context triple: [A. Mitchell Palmer, almaMaterRole, trustee of Swarthmore College]
-
A.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
B.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
C.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
firstTaughtAt
Indicates the institution or place where an entity (typically a person) began their teaching career or taught for the first time.
-
E.
notableAlmaMater
Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.