Triple
T14979723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domitii Ahenobarbi family |
E373541
|
entity |
| Predicate | originOfCognomen |
P97319
|
FINISHED |
| Object | legend of a copper-colored beard (aheneus + barba) |
—
|
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: legend of a copper-colored beard (aheneus + barba) | Statement: [Domitii Ahenobarbi family, originOfCognomen, legend of a copper-colored beard (aheneus + barba)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfCognomen Context triple: [Domitii Ahenobarbi family, originOfCognomen, legend of a copper-colored beard (aheneus + barba)]
-
A.
etymologyOfCognomen
chosen
Indicates that one term specifies the linguistic origin or derivation of a particular cognomen (surname or family name).
-
B.
cognomenOf
Indicates that one entity is the cognomen (surname or family name) of another entity.
-
C.
royalPrenomen
Indicates the formal throne name adopted by a monarch as part of their royal titulary.
-
D.
praenomenOfEthnicity
Indicates that a given personal first name (praenomen) is characteristic of, or associated with, a particular ethnicity.
-
E.
familyNameDerivedFrom
Indicates that one entity’s family name originates from, or is etymologically derived from, 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.