Triple
T38627287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlton family |
E937347
|
entity |
| Predicate | punishmentsFaced |
P3012
|
FINISHED |
| Object | execution |
—
|
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: execution | Statement: [Charlton family, punishmentsFaced, execution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: punishmentsFaced Context triple: [Charlton family, punishmentsFaced, execution]
-
A.
punishedAmong
Indicates that an entity is punished within a particular group or set of entities, as one among them.
-
B.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
C.
hasPunishment
chosen
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
D.
punishmentOfPeople
Indicates that a person or group is subjected to a punitive action or sanction by another entity or authority.
-
E.
numberOfPeoplePunished
Indicates the count of individuals who received punishment in relation to a specified event, action, or context.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.