Triple
T7489706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Ravaillac |
E176973
|
entity |
| Predicate | capitalPunishment |
P73633
|
FINISHED |
| Object | drawn and quartered |
—
|
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: drawn and quartered | Statement: [François Ravaillac, capitalPunishment, drawn and quartered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalPunishment Context triple: [François Ravaillac, capitalPunishment, drawn and quartered]
-
A.
numberSentencedToDeath
Indicates the number of individuals who have been formally sentenced to receive the death penalty.
-
B.
deathPenaltyJurisdiction
Indicates that a given jurisdiction legally authorizes, applies, or recognizes the death penalty as a form of criminal punishment.
-
C.
punishmentOfPeople
chosen
Indicates that a person or group is subjected to a punitive action or sanction by another entity or authority.
-
D.
numberOfPeopleExecuted
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
E.
notablePrisonerExecuted
Indicates that a person, recognized as a notable or significant prisoner, was executed while in custody.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55abcd481909e42ca857fe46cd1 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:43 p.m.