Triple
T31232975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony de Corti |
E796335
|
entity |
| Predicate | usedStagePersonaAs |
P70717
|
FINISHED |
| Object | Native American man |
—
|
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: Native American man | Statement: [Tony de Corti, usedStagePersonaAs, Native American man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedStagePersonaAs Context triple: [Tony de Corti, usedStagePersonaAs, Native American man]
-
A.
stagePersonaOf
chosen
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
B.
usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
-
C.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
D.
usesStageType
Indicates that one entity employs or operates with a particular type or category of stage.
-
E.
usedByPerson
Indicates that something (such as an object, tool, or resource) is utilized or employed by a person.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.