Triple
T4357885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand Walsin Esterhazy |
E98593
|
entity |
| Predicate | courtMartialOutcome |
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: [Ferdinand Walsin Esterhazy, courtMartialOutcome, acquitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtMartialOutcome Context triple: [Ferdinand Walsin Esterhazy, courtMartialOutcome, acquitted]
-
A.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
B.
convictedBy
Indicates that an authority, typically a court or judge, has formally found an entity guilty of a crime or offense.
-
C.
convictionStatusInOriginalTrial
Indicates whether an entity was found guilty or not guilty in the initial (original) court trial.
-
D.
placeOfConviction
Indicates the location where a person was formally convicted of a crime or offense.
-
E.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.