Triple
T31068703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David 8 |
E791752
|
entity |
| Predicate | nationalityPresentation |
P187053
|
FINISHED |
| Object | British accent |
—
|
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: British accent | Statement: [David 8, nationalityPresentation, British accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityPresentation Context triple: [David 8, nationalityPresentation, British accent]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
nationalityTheme
Indicates that an entity is thematically associated with, or centrally involves, a particular nationality or country.
-
C.
nationalityAppearance
Indicates that an entity appears to have, or is perceived as having, a particular nationality based on observable characteristics.
-
D.
nationalityInWorld
Indicates that an entity has a specific national affiliation or citizenship within the world context.
-
E.
primaryNationality
Indicates the main national affiliation or citizenship that most strongly characterizes an entity among possibly multiple nationalities.
- F. None of above. chosen
Provenance (4 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 29, 2026, 9:01 p.m.