Triple
T30581473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N'Jadaka |
E778391
|
entity |
| Predicate | filmSeeks |
P170468
|
FINISHED |
| Object | throne of Wakanda |
—
|
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: throne of Wakanda | Statement: [N'Jadaka, filmSeeks, throne of Wakanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeeks Context triple: [N'Jadaka, filmSeeks, throne of Wakanda]
-
A.
filmSelection
Indicates the act or result of choosing a particular film from a set of available options.
-
B.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
C.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
-
D.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
-
E.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 8:23 p.m.