Triple
T29662029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullia Ciceronis |
E750435
|
entity |
| Predicate | mentionedInWorkOf |
P80280
|
FINISHED |
| Object | Marcus Tullius Cicero |
—
|
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: Marcus Tullius Cicero | Statement: [Tullia Ciceronis, mentionedInWorkOf, Marcus Tullius Cicero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionedInWorkOf Context triple: [Tullia Ciceronis, mentionedInWorkOf, Marcus Tullius Cicero]
-
A.
discussedInWorkOf
chosen
Indicates that a subject is examined, treated, or talked about within a particular work or publication.
-
B.
associatedWithWorkOf
Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
-
C.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
D.
notableFromWork
Indicates that an entity is notable or well-known specifically because of a particular work it created, contributed to, or is associated with.
-
E.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f671c062c08190bfe6b51c4edc80a5 |
completed | May 2, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:59 p.m.