Triple
T26756522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Isthmus |
E674684
|
entity |
| Predicate | politicalBackdropFor |
P175305
|
FINISHED |
| Object | Licence to Kill |
—
|
NE NERFINISHED |
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: Licence to Kill | Statement: [Republic of Isthmus, politicalBackdropFor, Licence to Kill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalBackdropFor Context triple: [Republic of Isthmus, politicalBackdropFor, Licence to Kill]
-
A.
musicalBackdrop
Indicates that one entity serves as the background music or ambient sound accompanying another entity or event.
-
B.
officeHolderBackground
Indicates that one entity’s background, such as prior roles, experience, or qualifications, is associated with or characterizes the office holder of another entity.
-
C.
primaryBackdropFor
Indicates that one entity serves as the main visual or contextual background element for another entity.
-
D.
socialBackground
Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes another entity.
-
E.
PoseThemes
Indicates that a particular pose expresses, embodies, or is associated with certain thematic ideas or concepts.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 27, 2026, 3:56 a.m.