Triple
T28289967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shen Buhai |
E713395
|
entity |
| Predicate | inLegalism |
P164236
|
FINISHED |
| Object | foundational figure of administrative strand of Legalism |
—
|
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: foundational figure of administrative strand of Legalism | Statement: [Shen Buhai, inLegalism, foundational figure of administrative strand of Legalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLegalism Context triple: [Shen Buhai, inLegalism, foundational figure of administrative strand of Legalism]
-
A.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
B.
legality
Indicates that an action, object, or situation conforms to, violates, or is evaluated in terms of formal laws or legal rules.
-
C.
legalDoctrine
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
D.
legalIn
Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
-
E.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644825d308190a1bfd0e202c7f58b |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:28 p.m.