Triple
T31916916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius Scribonius Libo (consul 16 AD) |
E814856
|
entity |
| Predicate | Roman cognomen |
P50475
|
FINISHED |
| Object | Libo |
—
|
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: Libo | Statement: [Lucius Scribonius Libo (consul 16 AD), Roman cognomen, Libo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Roman cognomen Context triple: [Lucius Scribonius Libo (consul 16 AD), Roman cognomen, Libo]
-
A.
etymologyOfCognomen
Indicates that one term specifies the linguistic origin or derivation of a particular cognomen (surname or family name).
-
B.
cognomenOf
chosen
Indicates that one entity is the cognomen (surname or family name) of another entity.
-
C.
romanNomen
Indicates that an entity has a specific Roman nomen, i.e., the clan or gens name within the traditional Roman naming system.
-
D.
royalPrenomen
Indicates the formal throne name adopted by a monarch as part of their royal titulary.
-
E.
partOfRomanNamingSystem
Indicates that something functions as a component or element within the traditional Roman naming system.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 12:02 a.m.