Triple
T849840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diary of Samuel Pepys |
E18358
|
entity |
| Predicate | containsPerspectiveOf |
P8789
|
FINISHED |
| Object | a naval 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: a naval administrator | Statement: [The Diary of Samuel Pepys, containsPerspectiveOf, a naval administrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPerspectiveOf Context triple: [The Diary of Samuel Pepys, containsPerspectiveOf, a naval administrator]
-
A.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
C.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac1fac3481909cba7070ce31a9b3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.