Triple
T15710741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna Schmitz |
E380829
|
entity |
| Predicate | putOnTrialFor |
P18243
|
FINISHED |
| Object | war crimes |
—
|
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: war crimes | Statement: [Hanna Schmitz, putOnTrialFor, war crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: putOnTrialFor Context triple: [Hanna Schmitz, putOnTrialFor, war crimes]
-
A.
addsTrial
Indicates that an entity initiates or includes a trial phase or trial version for another entity.
-
B.
trialOption
Indicates that an entity is available to be used, accessed, or experienced on a trial basis, typically for a limited time or with restricted features.
-
C.
trialMode
Indicates that an entity is operating in a temporary, limited-capability trial state rather than in full or permanent mode.
-
D.
trialName
Indicates the designated name or title assigned to a specific trial.
-
E.
trial
chosen
Indicates that an entity is the subject of a legal or formal judicial proceeding to determine guilt, liability, or resolution of a dispute.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.