Triple
T10871274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar’s Comet |
E256658
|
entity |
| Predicate | appearedAfterEvent |
P6702
|
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: [Caesar’s Comet, appearedAfterEvent, assassination of Julius Caesar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearedAfterEvent Context triple: [Caesar’s Comet, appearedAfterEvent, 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.
tookPlaceAfter
chosen
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
E.
seenAfter
Indicates that one entity is observed or perceived at a later time than 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75186e75c8190bf046ea666faff54 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.