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.