Triple
T30215001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clodia Metelli |
E768178
|
entity |
| Predicate | brotherHeldOffice |
P81980
|
FINISHED |
| Object | tribune of the plebs |
—
|
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: tribune of the plebs | Statement: [Clodia Metelli, brotherHeldOffice, tribune of the plebs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brotherHeldOffice Context triple: [Clodia Metelli, brotherHeldOffice, tribune of the plebs]
-
A.
memberHeldOfficeFrom
Indicates that a member began holding a particular office or position starting from a specified date or time.
-
B.
officeHoldersWere
Indicates that certain individuals held specific offices or positions during a particular time or context.
-
C.
officeHolders
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
-
D.
paternalUncleHeldOffice
chosen
Indicates that a person’s paternal uncle (their father’s brother) occupied or held a particular office or official position.
-
E.
hasMemberWhoHeldOffice
Indicates that a group or organization includes at least one member who has held a specified office or position.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ff517908190ad290edafd6c6f5f |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:33 p.m.