Triple

T11418013
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bantry Bay E270542 entity
Predicate commander P1061 FINISHED
Object Châteaurenault
Châteaurenault was a notable 17th-century French naval officer and admiral who played a key role in several major maritime conflicts of his time.
E929575 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: Châteaurenault | Statement: [Battle of Bantry Bay, commander, Châteaurenault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châteaurenault
Context triple: [Battle of Bantry Bay, commander, Châteaurenault]
  • A. Chastelard
    Chastelard is a verse drama by Algernon Charles Swinburne that dramatizes the tragic love of the French poet Chastelard for Mary, Queen of Scots.
  • B. Châteaurenard
    Châteaurenard is a commune in southern France known for its agricultural production and Provençal heritage, located near Avignon in the Bouches-du-Rhône department.
  • C. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • D. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • E. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • 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: Châteaurenault
Triple: [Battle of Bantry Bay, commander, Châteaurenault]
Generated description
Châteaurenault was a notable 17th-century French naval officer and admiral who played a key role in several major maritime conflicts of his time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Châteaurenault
Target entity description: Châteaurenault was a notable 17th-century French naval officer and admiral who played a key role in several major maritime conflicts of his time.
  • A. Chastelard
    Chastelard is a verse drama by Algernon Charles Swinburne that dramatizes the tragic love of the French poet Chastelard for Mary, Queen of Scots.
  • B. Châteaurenard
    Châteaurenard is a commune in southern France known for its agricultural production and Provençal heritage, located near Avignon in the Bouches-du-Rhône department.
  • C. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • D. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • E. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
NEDg Description generation batch_69e62cf224f881908badcdab6aea1aef completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e663ffedfc8190a2b51995c62d1e6b completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:34 p.m.