Triple
T25364641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed |
E636065
|
entity |
| Predicate | honorificPrefixFor |
P368
|
FINISHED |
| Object | name of beatified individual |
—
|
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: name of beatified individual | Statement: [Blessed, honorificPrefixFor, name of beatified individual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificPrefixFor Context triple: [Blessed, honorificPrefixFor, name of beatified individual]
-
A.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
B.
honorificNameOf
Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
-
C.
hasHonorificPrefix
chosen
Indicates that one entity is used as an honorific title or prefix attached to another entity’s name.
-
D.
honorificPartOfName
Indicates that an honorific title or form of address is included as part of a person's full name.
-
E.
honoraryPrefix
Indicates that one entity serves as an honorific title or respectful prefix attached to the name 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:36 p.m.