Triple

T4361996
Position Surface form Disambiguated ID Type / Status
Subject Battle of Navarino E98679 entity
Predicate hasShipInvolved P862 FINISHED
Object Guerrière
Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
 E433287 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: Guerrière | Statement: [Battle of Navarino, hasShipInvolved, Guerrière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guerrière
Context triple: [Battle of Navarino, hasShipInvolved, Guerrière]
  • A. The Warrior
    "The Warrior" is a notable work by Martin Walsh, likely recognized as one of his significant creative or literary contributions.
  • B. the Warrior
    The Warrior is an incarnation of the Doctor from the British science fiction series Doctor Who, known for fighting in the Last Great Time War and later referred to as the War Doctor.
  • C. Les Preuses
    Les Preuses is one of the prestigious Grand Cru vineyard sites in Chablis, renowned for producing complex, age-worthy Chardonnay wines.
  • D. Warrior Woman
    Warrior Woman is a formidable female combatant renowned for fiercely opposing invading forces.
  • E. Warrior
    Warrior is a 2011 sports drama film about two estranged brothers who enter a high-stakes mixed martial arts tournament, noted for its intense fight sequences and emotional depth.
  • 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: Guerrière
Triple: [Battle of Navarino, hasShipInvolved, Guerrière]
Generated description
Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guerrière
Target entity description: Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
  • A. The Warrior
    "The Warrior" is a notable work by Martin Walsh, likely recognized as one of his significant creative or literary contributions.
  • B. the Warrior
    The Warrior is an incarnation of the Doctor from the British science fiction series Doctor Who, known for fighting in the Last Great Time War and later referred to as the War Doctor.
  • C. Les Preuses
    Les Preuses is one of the prestigious Grand Cru vineyard sites in Chablis, renowned for producing complex, age-worthy Chardonnay wines.
  • D. Warrior Woman
    Warrior Woman is a formidable female combatant renowned for fiercely opposing invading forces.
  • E. Warrior
    Warrior is a 2011 sports drama film about two estranged brothers who enter a high-stakes mixed martial arts tournament, noted for its intense fight sequences and emotional depth.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e47d388190b31500189577cd75 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc357988190a2982a86847e2c42 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc6a97208190b91d784285657bff completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dce749708190b9daf2c192b32de3 completed March 14, 2026, 10:10 p.m.
Created at: March 12, 2026, 11:16 p.m.