Triple
T2846059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Gardner Choate |
E62585
|
entity |
| Predicate | notableStudentBodyAssociatedWith |
P43375
|
FINISHED |
| Object | students of Choate Rosemary Hall |
—
|
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: students of Choate Rosemary Hall | Statement: [William Gardner Choate, notableStudentBodyAssociatedWith, students of Choate Rosemary Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStudentBodyAssociatedWith Context triple: [William Gardner Choate, notableStudentBodyAssociatedWith, students of Choate Rosemary Hall]
-
A.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
B.
notableStudentOrColleague
Indicates that one entity is a notable student or professional colleague of another entity.
-
C.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
D.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
E.
positionOfNotableAlumnus
Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3d00708190966a477fdd855f23 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:02 p.m.