Triple
T14749651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Julius Caesar |
E346568
|
entity |
| Predicate | hasWorkTitleInGreek |
P112236
|
FINISHED |
| Object | Καίσαρ |
—
|
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: Καίσαρ | Statement: [Life of Julius Caesar, hasWorkTitleInGreek, Καίσαρ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTitleInGreek Context triple: [Life of Julius Caesar, hasWorkTitleInGreek, Καίσαρ]
-
A.
hasTitleInGreek
Indicates that an entity possesses a specific title expressed in the Greek language.
-
B.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
C.
hasOfficialNameInGreek
Indicates that an entity has an official or formally recognized name expressed in the Greek language.
-
D.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
E.
hasTitleWork
chosen
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.