Triple
T33771445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Circle |
E865391
|
entity |
| Predicate | outcomeInFilm |
P137166
|
FINISHED |
| Object | organization dismantled |
—
|
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: organization dismantled | Statement: [The Golden Circle, outcomeInFilm, organization dismantled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeInFilm Context triple: [The Golden Circle, outcomeInFilm, organization dismantled]
-
A.
hasOutcomeInFilm
chosen
Indicates that a particular event, action, or situation results in a specific outcome within the context of a film.
-
B.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
D.
finalFilmBy
Indicates that a given film is the last movie directed, produced, or otherwise primarily created by a particular person or entity in their career or filmography.
-
E.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.