Triple

T6580699
Position Surface form Disambiguated ID Type / Status
Subject Jean Armour E157285 entity
Predicate familyName P18 FINISHED
Object Armour
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
 E599513 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: Armour | Statement: [Jean Armour, familyName, Armour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armour
Context triple: [Jean Armour, familyName, Armour]
  • A. Armills
    Armills are ceremonial arm bracelets traditionally worn by British monarchs during coronations as symbols of sincerity and wisdom.
  • B. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • C. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • D. Burlington armour
    Burlington armour is a British-developed composite tank armour system, better known as Chobham armour, designed to provide enhanced protection against both kinetic and shaped-charge threats.
  • E. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • 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: Armour
Triple: [Jean Armour, familyName, Armour]
Generated description
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armour
Target entity description: Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
  • A. Armills
    Armills are ceremonial arm bracelets traditionally worn by British monarchs during coronations as symbols of sincerity and wisdom.
  • B. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • C. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • D. Burlington armour
    Burlington armour is a British-developed composite tank armour system, better known as Chobham armour, designed to provide enhanced protection against both kinetic and shaped-charge threats.
  • E. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8ef4d08190b4c88aa0c15fe91c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbaafed8819096423d47dd4375a7 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd08a9c88190a481d4d3f8e680bf completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc859cc8190bbae2efc39409021 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:54 p.m.