Triple
T33861220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Brazil |
E867927
|
entity |
| Predicate | publicPerceptionRole |
P108327
|
FINISHED |
| Object | symbolic figure of the nation |
—
|
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: symbolic figure of the nation | Statement: [First Lady of Brazil, publicPerceptionRole, symbolic figure of the nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicPerceptionRole Context triple: [First Lady of Brazil, publicPerceptionRole, symbolic figure of the nation]
-
A.
perceivedRole
chosen
Indicates the role or function that one entity is regarded or interpreted as having in relation to another, based on perception rather than objective status.
-
B.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
C.
epsilonRole
Indicates a role or function that is minimal, negligible, or used as a placeholder within a relationship or structure.
-
D.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
E.
profileRole
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:47 a.m.