Triple
T31500527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar DeCorti |
E803665
|
entity |
| Predicate | portrayedEthnicityOnScreen |
P115849
|
FINISHED |
| Object | Native American |
—
|
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 | Statement: [Oscar DeCorti, portrayedEthnicityOnScreen, Native American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedEthnicityOnScreen Context triple: [Oscar DeCorti, portrayedEthnicityOnScreen, Native American]
-
A.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
B.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
-
C.
portrayalNationalityOfActor
Indicates that an actor portrays a character of a specified nationality in a performance or work.
-
D.
directorEthnicity
Indicates the ethnic background or heritage associated with a director.
-
E.
ethnicityInSeries
chosen
Indicates that a character’s ethnicity as portrayed or identified within a specific series is being specified.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 30, 2026, 9:44 p.m.