Triple

T9259193
Position Surface form Disambiguated ID Type / Status
Subject Armour & Company E222527 entity
Predicate brand P1500 FINISHED
Object Armour Star
Armour Star is a long-standing American food brand best known for its canned meats and pantry staples.
E788961 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 Star | Statement: [Armour & Company, brand, Armour Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armour Star
Context triple: [Armour & Company, brand, Armour Star]
  • A. The Battler
    The Battler is a short story by Ernest Hemingway that follows a young drifter’s tense encounter with a mentally unstable ex-boxer beside a Midwestern railroad track.
  • B. Eita Kidou
    Eita Kidou is the studious, romance-averse high school protagonist of the light novel and anime series "Oreshura," whose life becomes complicated when he gets involved in a fake relationship with a popular girl.
  • C. Matsuda Force
    Matsuda Force is a Japanese military unit featured as an opposing force in the strategy video game "Operation Backhander."
  • D. Armour
    Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
  • E. Gunnm
    Gunnm is a cyberpunk manga series by Yukito Kishiro that follows a powerful amnesiac cyborg warrior navigating a dystopian future world of brutal combat and social inequality.
  • 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 Star
Triple: [Armour & Company, brand, Armour Star]
Generated description
Armour Star is a long-standing American food brand best known for its canned meats and pantry staples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armour Star
Target entity description: Armour Star is a long-standing American food brand best known for its canned meats and pantry staples.
  • A. The Battler
    The Battler is a short story by Ernest Hemingway that follows a young drifter’s tense encounter with a mentally unstable ex-boxer beside a Midwestern railroad track.
  • B. Eita Kidou
    Eita Kidou is the studious, romance-averse high school protagonist of the light novel and anime series "Oreshura," whose life becomes complicated when he gets involved in a fake relationship with a popular girl.
  • C. Matsuda Force
    Matsuda Force is a Japanese military unit featured as an opposing force in the strategy video game "Operation Backhander."
  • D. Armour
    Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
  • E. Gunnm
    Gunnm is a cyberpunk manga series by Yukito Kishiro that follows a powerful amnesiac cyborg warrior navigating a dystopian future world of brutal combat and social inequality.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0714317481908405f857a4f49e74 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bf225608190ade085302946dd8f completed April 4, 2026, 5:04 a.m.
NEDg Description generation batch_69d09dc3ccb08190a70e278a67249070 completed April 4, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d09e3f211c819087b9e75f0d8faf93 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.