Triple
T9758617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instructions of Amenemhat |
E236612
|
entity |
| Predicate | adviceType |
P6753
|
FINISHED |
| Object | pragmatic political advice rather than purely moral exhortation |
—
|
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: pragmatic political advice rather than purely moral exhortation | Statement: [Instructions of Amenemhat, adviceType, pragmatic political advice rather than purely moral exhortation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adviceType Context triple: [Instructions of Amenemhat, adviceType, pragmatic political advice rather than purely moral exhortation]
-
A.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
B.
topicOfAdvice
Indicates that one entity is the subject or focus about which advice is being given by another entity.
-
C.
guidanceType
chosen
Indicates the specific kind or category of guidance being provided or referenced in the relationship between entities.
-
D.
advisorOf
Indicates that one entity serves as an advisor, providing guidance or counsel, to another entity.
-
E.
general
Indicates that one entity has a broad, non-specific, or overarching relationship or association with another entity.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.