Triple

T14754389
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Saintes E346691 entity
Predicate shipInvolved P862 FINISHED
Object Glorieux
Glorieux was a French ship of the line from the 18th century that notably fought in major naval engagements of the American Revolutionary War era.
 E1117484 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: Glorieux | Statement: [Battle of the Saintes, shipInvolved, Glorieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glorieux
Context triple: [Battle of the Saintes, shipInvolved, Glorieux]
  • A. La Victoire
    La Victoire is a small commune located in the northern region of Haiti, known for its rural character and agricultural activities.
  • B. Grande Glorieuse
    Grande Glorieuse is a small, uninhabited French island in the Indian Ocean known for its protected ecosystems and military presence.
  • C. Victoire
    Victoire is a French feminine given name historically borne by royalty and nobility, derived from the Latin word for "victory."
  • D. Almodington
    Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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: Glorieux
Triple: [Battle of the Saintes, shipInvolved, Glorieux]
Generated description
Glorieux was a French ship of the line from the 18th century that notably fought in major naval engagements of the American Revolutionary War era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glorieux
Target entity description: Glorieux was a French ship of the line from the 18th century that notably fought in major naval engagements of the American Revolutionary War era.
  • A. La Victoire
    La Victoire is a small commune located in the northern region of Haiti, known for its rural character and agricultural activities.
  • B. Grande Glorieuse
    Grande Glorieuse is a small, uninhabited French island in the Indian Ocean known for its protected ecosystems and military presence.
  • C. Victoire
    Victoire is a French feminine given name historically borne by royalty and nobility, derived from the Latin word for "victory."
  • D. Almodington
    Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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.