Triple
T28248389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Palestrina |
E712248
|
entity |
| Predicate | betterKnownAuthorName |
P154536
|
FINISHED |
| Object | Voltaire |
—
|
NE NERFINISHED |
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: Voltaire | Statement: [Princess of Palestrina, betterKnownAuthorName, Voltaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betterKnownAuthorName Context triple: [Princess of Palestrina, betterKnownAuthorName, Voltaire]
-
A.
alsoKnownAsRealAuthor
chosen
Indicates that an entity is an alternative or alias name identifying the same individual who is the actual (real) author of a work.
-
B.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
-
C.
canonicalAuthor
Indicates that an entity is the officially recognized or standard author of a given work or resource.
-
D.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
E.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 11:03 p.m.