Triple
T14812048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress of Rome |
E348203
|
entity |
| Predicate | involvesResponsibility |
P1256
|
FINISHED |
| Object | representation in public ceremonies |
—
|
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: representation in public ceremonies | Statement: [Empress of Rome, involvesResponsibility, representation in public ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesResponsibility Context triple: [Empress of Rome, involvesResponsibility, representation in public ceremonies]
-
A.
responsibleFor
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
B.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
C.
accountabilityTo
Indicates that one entity is responsible for explaining, justifying, or answering for its actions, decisions, or outcomes to another entity.
-
D.
rightInvolved
Indicates that an entity is involved in or associated with a legal or formal right held, exercised, or affected in a given context.
-
E.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:47 a.m.