Triple

T11388838
Position Surface form Disambiguated ID Type / Status
Subject USS Pillsbury E269779 entity
Predicate shipClass P3141 FINISHED
Object Cannon class
The Cannon class was a group of U.S. Navy destroyer escorts built during World War II, designed primarily for anti-submarine warfare and convoy protection.
 E923436 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: Cannon class | Statement: [USS Pillsbury, shipClass, Cannon class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cannon class
Context triple: [USS Pillsbury, shipClass, Cannon class]
  • A. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • B. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • C. Cannon
    "Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
  • D. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • E. Cannonier
    Cannonier is a surname most notably associated with Bermudian politician Craig Cannonier, a former Premier of Bermuda.
  • 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: Cannon class
Triple: [USS Pillsbury, shipClass, Cannon class]
Generated description
The Cannon class was a group of U.S. Navy destroyer escorts built during World War II, designed primarily for anti-submarine warfare and convoy protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cannon class
Target entity description: The Cannon class was a group of U.S. Navy destroyer escorts built during World War II, designed primarily for anti-submarine warfare and convoy protection.
  • A. Cannon
    "Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
  • B. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • C. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • D. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • E. Cannonier
    Cannonier is a surname most notably associated with Bermudian politician Craig Cannonier, a former Premier of Bermuda.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.