Triple
T36565634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aemilii Regilli |
E901967
|
entity |
| Predicate | hasFamilyNomen |
P52579
|
FINISHED |
| Object | Aemilius |
—
|
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: Aemilius | Statement: [Aemilii Regilli, hasFamilyNomen, Aemilius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyNomen Context triple: [Aemilii Regilli, hasFamilyNomen, Aemilius]
-
A.
hasFamilyNameOf
chosen
Indicates that one entity bears or uses the same family name (surname) as another entity.
-
B.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
-
C.
hasNameInFamily
Indicates that an entity is known or referred to by a particular name within the context of a specific family or familial group.
-
D.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
-
E.
hasRepresentativeFamily
Indicates that an entity is associated with a particular family that serves as its representative or characteristic example.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:11 p.m.