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.