Triple
T21807089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaius Duilius |
E538376
|
entity |
| Predicate | memorialPrivilege |
P145719
|
FINISHED |
| Object | escorted home at night with torchbearers and flute-players |
—
|
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: escorted home at night with torchbearers and flute-players | Statement: [Gaius Duilius, memorialPrivilege, escorted home at night with torchbearers and flute-players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialPrivilege Context triple: [Gaius Duilius, memorialPrivilege, escorted home at night with torchbearers and flute-players]
-
A.
memorialization
Indicates the act of preserving the memory or honoring the legacy of someone or something, often through a dedicated object, event, or practice.
-
B.
memorialRole
Indicates that an entity holds a specific role, capacity, or function in relation to a memorial or commemorative context.
-
C.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
D.
memorialScope
Indicates the extent or boundaries of what is commemorated or covered by a memorial.
-
E.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
- F. None of above. chosen
Provenance (4 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07803b4888190af06bf7a90198f60 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.