Triple
T28781031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRISPVS NOBIL CAES |
E726676
|
entity |
| Predicate | appearsWithPortraitOf |
P24424
|
FINISHED |
| Object | Flavius Julius Crispus |
—
|
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: Flavius Julius Crispus | Statement: [CRISPVS NOBIL CAES, appearsWithPortraitOf, Flavius Julius Crispus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsWithPortraitOf Context triple: [CRISPVS NOBIL CAES, appearsWithPortraitOf, Flavius Julius Crispus]
-
A.
depictsInPortraits
Indicates that one entity is represented or shown as the subject within portrait images created by another entity.
-
B.
portraitOn
Indicates that one entity is depicted as a portrait on the surface or medium of another entity.
-
C.
hasPortrait
chosen
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
-
D.
portrayerKnownFor
Indicates that a person is especially recognized or famous for portraying a particular role, character, or work.
-
E.
appearanceInImages
Indicates that an entity is visually present or depicted within one or more images.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 6:19 a.m.