Triple
T30988379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Nelson as James Bond |
E789594
|
entity |
| Predicate | portrayalNationalityInAdaptation |
P32391
|
FINISHED |
| Object | 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: American | Statement: [Barry Nelson as James Bond, portrayalNationalityInAdaptation, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalNationalityInAdaptation Context triple: [Barry Nelson as James Bond, portrayalNationalityInAdaptation, American]
-
A.
nationalityInAdaptation
Indicates that an entity’s nationality, as portrayed in an adaptation, is specified or differs from its original source.
-
B.
portrayalNationalityOfActor
chosen
Indicates that an actor portrays a character of a specified nationality in a performance or work.
-
C.
adaptationPortrayalBy
Indicates that one work serves as an adaptation that portrays or represents the content of another work.
-
D.
portrayedInAdaptationOf
Indicates that an entity is depicted as a character or role within an adaptation (such as a film, series, or game) that is based on another original work.
-
E.
portrayalLanguage
Indicates the language in which something is depicted, represented, or expressed.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 29, 2026, 8:56 p.m.