Triple
T14767361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldie |
E347030
|
entity |
| Predicate | workDirectorNationality |
P22097
|
FINISHED |
| Object | British |
—
|
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 | Statement: [Goldie, workDirectorNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workDirectorNationality Context triple: [Goldie, workDirectorNationality, British]
-
A.
producerNationality
Indicates that a producer has a particular national affiliation or country of origin.
-
B.
hasDirectorNationality
chosen
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
C.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
D.
workDirector
Indicates that one entity serves as the director (creative or managerial lead) of a particular work or production associated with the other entity.
-
E.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.