Triple
T23398183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Leader |
E559420
|
entity |
| Predicate | portraysLeaderAs |
P150464
|
FINISHED |
| Object | protector of the people |
—
|
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: protector of the people | Statement: [Great Leader, portraysLeaderAs, protector of the people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysLeaderAs Context triple: [Great Leader, portraysLeaderAs, protector of the people]
-
A.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
B.
describesLeader
Indicates that one entity provides a description or characterization of another entity in its role as a leader.
-
C.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
D.
portraysRoleTrait
chosen
Indicates that one entity depicts or represents a particular role or character trait of another entity.
-
E.
portrayedAsFrom
Indicates that one entity is depicted or represented as originating from, or belonging to, the place or source specified by 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dd05cc81908c1e91974ffccf21 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.