Triple
T11253449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Lloyd |
E266377
|
entity |
| Predicate | trialResult |
P47971
|
FINISHED |
| Object | acquittal in the Seven Bishops trial |
—
|
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 in the Seven Bishops trial | Statement: [William Lloyd, trialResult, acquittal in the Seven Bishops trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialResult Context triple: [William Lloyd, trialResult, acquittal in the Seven Bishops trial]
-
A.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
B.
trial
Indicates that an entity is the subject of a legal or formal judicial proceeding to determine guilt, liability, or resolution of a dispute.
-
C.
trialName
Indicates the designated name or title assigned to a specific trial.
-
D.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
E.
testResult
Indicates that an entity has produced a specific outcome or value when subjected to a particular test or evaluation.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.