Triple

T5661117
Position Surface form Disambiguated ID Type / Status
Subject Battle of San Domingo E124740 entity
Predicate FrenchFrigates P19503 FINISHED
Object Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
 E537926 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: Sybille | Statement: [Battle of San Domingo, FrenchFrigates, Sybille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sybille
Context triple: [Battle of San Domingo, FrenchFrigates, Sybille]
  • A. Sibyl
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • B. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • C. Elysette
    Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
  • D. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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: Sybille
Triple: [Battle of San Domingo, FrenchFrigates, Sybille]
Generated description
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sybille
Target entity description: Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
  • A. Sibyl
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • B. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • C. Elysette
    Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
  • D. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c0335cf55c8190937a8657406ac4a2 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da6fa808190a3c500ee664bb150 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.