Triple
T30229391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Kreutz |
E768585
|
entity |
| Predicate | statusInTheBourneSupremacy |
P83430
|
FINISHED |
| Object | killed |
—
|
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: killed | Statement: [Marie Kreutz, statusInTheBourneSupremacy, killed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInTheBourneSupremacy Context triple: [Marie Kreutz, statusInTheBourneSupremacy, killed]
-
A.
statusInMissionImpossibleFallout
Indicates the role, condition, or outcome of an entity within the context of the film "Mission: Impossible – Fallout."
-
B.
supremeStatus
Indicates that one entity holds the highest or most authoritative status relative to others in a given context.
-
C.
statusAtEndOfFilm
chosen
Indicates the condition or situation an entity is in when the film concludes.
-
D.
spectreStatus
Indicates the current state or condition of a spectre-related entity or process, such as whether it is active, inactive, pending, or in another defined status.
-
E.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: April 29, 2026, 7:36 p.m.