Triple
T28666994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor George Gammell Angell |
E725609
|
entity |
| Predicate | mediumOfRecord |
P165538
|
FINISHED |
| Object | manuscript notes |
—
|
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: manuscript notes | Statement: [Professor George Gammell Angell, mediumOfRecord, manuscript notes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfRecord Context triple: [Professor George Gammell Angell, mediumOfRecord, manuscript notes]
-
A.
mediumOfProduction
Indicates the method, material, or technology used to create or produce something.
-
B.
mediumOfExistence
Indicates the medium, environment, or substrate within which an entity exists, manifests, or is realized.
-
C.
mediumOfFame
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
D.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
-
E.
mediumOfOperation
Indicates the method, channel, or medium through which an action, process, or interaction is carried out or operates.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 5:01 a.m.