Triple
T3333886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Calvert, 6th Baron Baltimore |
E70093
|
entity |
| Predicate | outcomeOfTrial |
P47971
|
FINISHED |
| Object | acquitted |
—
|
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: acquitted | Statement: [Frederick Calvert, 6th Baron Baltimore, outcomeOfTrial, acquitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeOfTrial Context triple: [Frederick Calvert, 6th Baron Baltimore, outcomeOfTrial, acquitted]
-
A.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
B.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
-
C.
describesOutcomeOf
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
D.
outcomeOffice
Indicates that an outcome or result is associated with, produced by, or realized within a particular office or administrative unit.
-
E.
missionOutcome
Indicates the result or consequence of a mission, specifying whether and how the mission’s objectives were achieved or failed.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1961b888190bda38ba301ddc51d |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.