Triple

T9490457
Position Surface form Disambiguated ID Type / Status
Subject Rifles (British Army) E228872 entity
Predicate motto P42 FINISHED
Object Swift and Bold
Swift and Bold is the regimental motto of The Rifles, a light infantry regiment of the British Army known for its speed, agility, and decisive action in combat.
 E801835 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: Swift and Bold | Statement: [Rifles (British Army), motto, Swift and Bold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swift and Bold
Context triple: [Rifles (British Army), motto, Swift and Bold]
  • A. Speedy
    Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
  • B. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • C. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • D. Fast-Track
    Fast-Track is a lesser-known Radiohead song released as the B-side to their single "Pyramid Song."
  • E. Snappy
    Snappy is Canonical Ltd.'s software packaging and deployment system designed for secure, containerized applications across Linux-based platforms.
  • 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: Swift and Bold
Triple: [Rifles (British Army), motto, Swift and Bold]
Generated description
Swift and Bold is the regimental motto of The Rifles, a light infantry regiment of the British Army known for its speed, agility, and decisive action in combat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swift and Bold
Target entity description: Swift and Bold is the regimental motto of The Rifles, a light infantry regiment of the British Army known for its speed, agility, and decisive action in combat.
  • A. Speedy
    Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
  • B. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • C. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • D. Fast-Track
    Fast-Track is a lesser-known Radiohead song released as the B-side to their single "Pyramid Song."
  • E. Snappy
    Snappy is Canonical Ltd.'s software packaging and deployment system designed for secure, containerized applications across Linux-based platforms.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c6f6bc8190aa09422508bd5d23 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d202b748190b78e4e972b1ce08d completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:55 p.m.