Triple
T17004091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar Kapaʻakea |
E412524
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Caesar
Caesar is a masculine given name of Latin origin, historically associated with Roman leaders and later used as a title meaning "emperor."
|
E1245407
|
NE FINISHED |
How this triple was built (4 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: Caesar | Statement: [Caesar Kapaʻakea, givenName, Caesar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caesar Context triple: [Caesar Kapaʻakea, givenName, Caesar]
-
A.
Caesar
Caesar was the title given to junior co-emperors in the Roman Empire, particularly formalized as the subordinate rank within Diocletian’s Tetrarchic system.
-
B.
Caesar
Caesar is a fictional character portrayed by Karl Urban, likely known from his roles in film or television.
-
C.
Caesar
Caesar is the intelligent, evolved chimpanzee who leads the apes in the modern Planet of the Apes film series.
-
D.
Caesar
Caesar is one of the two canine protagonists in Robert Burns’s poem “The Twa Dogs,” serving as the more privileged dog whose conversations explore social class and human nature.
-
E.
Caesar
Caesar is a key character in Colson Whitehead’s novel "The Underground Railroad," an enslaved man whose partnership with Cora drives their perilous escape from bondage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Caesar Triple: [Caesar Kapaʻakea, givenName, Caesar]
Generated description
Caesar is a masculine given name of Latin origin, historically associated with Roman leaders and later used as a title meaning "emperor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caesar Target entity description: Caesar is a masculine given name of Latin origin, historically associated with Roman leaders and later used as a title meaning "emperor."
-
A.
Caesar
Caesar was the title given to junior co-emperors in the Roman Empire, particularly formalized as the subordinate rank within Diocletian’s Tetrarchic system.
-
B.
Caesar
Caesar is a prominent Classical Latin author best known for his commentaries on the Gallic and Civil Wars, which are key sources for both Latin prose style and Roman history.
-
C.
Caesar
Caesar is a central character in Shakespeare’s play "Julius Caesar," depicted as a powerful Roman leader whose assassination triggers political chaos and moral conflict.
-
D.
Caesar
Caesar is the intelligent, evolved chimpanzee who leads the apes in the modern Planet of the Apes film series.
-
E.
Caesar
Caesar is a fictional character portrayed by Karl Urban, likely known from his roles in film or television.
- F. None of above. chosen
Provenance (5 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc2035848190bf299875d37c8ac7 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.