Triple

T14754390
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Saintes E346691 entity
Predicate shipInvolved P862 FINISHED
Object César
César was a French ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
 E1117485 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: César | Statement: [Battle of the Saintes, shipInvolved, César]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: César
Context triple: [Battle of the Saintes, shipInvolved, César]
  • A. César
    César is a masculine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries and derived from the Roman family name Caesar.
  • B. César
    César is a French film written and directed by Marcel Pagnol, forming the final part of his renowned Marseille trilogy.
  • C. César
    César is a rare, ancient red wine grape variety from Burgundy, France, known for producing deeply colored, tannic wines often blended in the Irancy appellation.
  • D. Giulio Cesare
    Giulio Cesare is a celebrated Baroque opera by George Frideric Handel, renowned for its virtuosic arias and dramatic portrayal of Julius Caesar’s encounter with Cleopatra.
  • E. Giulio Cesare
    Giulio Cesare was an Italian Conte di Cavour–class battleship that served in the Regia Marina during both World Wars before later being transferred to the Soviet Navy as war reparations.
  • 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: César
Triple: [Battle of the Saintes, shipInvolved, César]
Generated description
César was a French ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: César
Target entity description: César was a French ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
  • A. César
    César is a masculine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries and derived from the Roman family name Caesar.
  • B. César
    César is a French film written and directed by Marcel Pagnol, forming the final part of his renowned Marseille trilogy.
  • C. César
    César is a rare, ancient red wine grape variety from Burgundy, France, known for producing deeply colored, tannic wines often blended in the Irancy appellation.
  • D. Giulio Cesare
    Giulio Cesare is a celebrated Baroque opera by George Frideric Handel, renowned for its virtuosic arias and dramatic portrayal of Julius Caesar’s encounter with Cleopatra.
  • E. Giulio Cesare
    Giulio Cesare was an Italian Conte di Cavour–class battleship that served in the Regia Marina during both World Wars before later being transferred to the Soviet Navy as war reparations.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
NEDg Description generation batch_69fdfde8ed30819083600cdac241675e completed May 8, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69fdfe969a6081908f4ebec0f6538811 completed May 8, 2026, 3:17 p.m.
Created at: April 10, 2026, 1:30 a.m.