Triple
T37049378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiana Resistance |
E917006
|
entity |
| Predicate | outcomeOfTrials |
P47971
|
FINISHED |
| Object | acquittal of Castner Hanway |
—
|
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: acquittal of Castner Hanway | Statement: [Christiana Resistance, outcomeOfTrials, acquittal of Castner Hanway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeOfTrials Context triple: [Christiana Resistance, outcomeOfTrials, acquittal of Castner Hanway]
-
A.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
B.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
D.
preDeterminedOutcomes
Indicates that the outcomes of an event or process are fixed in advance and not influenced by subsequent actions or conditions.
-
E.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.