Triple
T34655234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Star |
E889956
|
entity |
| Predicate | appearedAfter |
P195948
|
FINISHED |
| Object | assassination of Julius Caesar |
—
|
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: assassination of Julius Caesar | Statement: [Julian Star, appearedAfter, assassination of Julius Caesar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearedAfter Context triple: [Julian Star, appearedAfter, assassination of Julius Caesar]
-
A.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
B.
appearedAt
Indicates that an entity was present or made an appearance at a specific event, location, or occasion.
-
C.
appearedThroughPeriod
Indicates that an entity was present or manifested continuously or recurrently throughout a specified time period.
-
D.
seenAfter
Indicates that one entity is observed or perceived at a later time than another entity.
-
E.
presentedAfter
Indicates that one entity is presented or displayed at a later time or sequence position than another entity.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
| PDg | Predicate description generation | batch_69fdf5cfa1ec8190b80d887fa1bfb4cf |
completed | May 8, 2026, 2:40 p.m. |
Created at: May 1, 2026, 2:04 a.m.