Triple
T556403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesare Beccaria |
E11949
|
entity |
| Predicate | hasPartInHisBiography |
P5385
|
FINISHED |
| Object | advocacy for abolition of torture |
—
|
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: advocacy for abolition of torture | Statement: [Cesare Beccaria, hasPartInHisBiography, advocacy for abolition of torture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInHisBiography Context triple: [Cesare Beccaria, hasPartInHisBiography, advocacy for abolition of torture]
-
A.
hasPartInBiography
chosen
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
B.
hasPartInHisHonor
Indicates that something includes or contains a part, section, or component that is dedicated or named in honor of a particular person.
-
C.
includesBiographiesOf
Indicates that one entity contains or features biographical information about another entity.
-
D.
isThirdAutobiographyOf
Indicates that one work is the third autobiography written by or about a particular person or entity in a sequence of autobiographical works.
-
E.
partOfHistoryOf
Indicates that one entity forms a component, episode, or contributing element within the historical development or narrative of another entity.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.