Triple
T31179548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viridomarus |
E794849
|
entity |
| Predicate | hasHonorificAftermath |
P136183
|
FINISHED |
| Object | spolia opima |
—
|
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: spolia opima | Statement: [Viridomarus, hasHonorificAftermath, spolia opima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonorificAftermath Context triple: [Viridomarus, hasHonorificAftermath, spolia opima]
-
A.
aftermathHonor
Indicates that an entity is honored, commemorated, or given recognition as a consequence of a prior event or outcome.
-
B.
hasHonorificSuccessor
Indicates that one entity is the successor to another in a role, title, or position, with an emphasis on formal or honorific continuity.
-
C.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
D.
hasHonorificFrom
Indicates that one entity uses or receives a particular honorific title or form of address originating from another entity or source.
-
E.
hasHonorificBasis
chosen
Indicates that one entity serves as the basis or justification for assigning an honorific title or respectful form of address to 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 29, 2026, 9:08 p.m.