Triple
T11461248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkley Jensen |
E271663
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
Great Value
Great Value is Walmart's primary private-label brand offering a wide range of low-priced grocery and household products.
|
E927807
|
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: Great Value | Statement: [Berkley Jensen, competesWith, Great Value]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Value Context triple: [Berkley Jensen, competesWith, Great Value]
-
A.
Really Good
Really Good is a satirical public sculpture by British artist David Shrigley, featuring an exaggeratedly elongated thumbs-up that humorously critiques optimism and public art.
-
B.
Good Stuff
Good Stuff is likely a component or segment of the television program "Kaleidoscope," possibly a recurring feature or themed section within the show.
-
C.
True Value
True Value is a large American hardware cooperative of independently owned retail stores offering tools, building materials, and home improvement products.
-
D.
Good
Good is a British television drama film exploring moral dilemmas in 1930s Nazi Germany, adapted from C. P. Taylor’s stage play of the same name.
-
E.
Good
Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
- 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: Great Value Triple: [Berkley Jensen, competesWith, Great Value]
Generated description
Great Value is Walmart's primary private-label brand offering a wide range of low-priced grocery and household products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Value Target entity description: Great Value is Walmart's primary private-label brand offering a wide range of low-priced grocery and household products.
-
A.
Really Good
Really Good is a satirical public sculpture by British artist David Shrigley, featuring an exaggeratedly elongated thumbs-up that humorously critiques optimism and public art.
-
B.
Good Stuff
Good Stuff is likely a component or segment of the television program "Kaleidoscope," possibly a recurring feature or themed section within the show.
-
C.
True Value
True Value is a large American hardware cooperative of independently owned retail stores offering tools, building materials, and home improvement products.
-
D.
Good
Good is a British television drama film exploring moral dilemmas in 1930s Nazi Germany, adapted from C. P. Taylor’s stage play of the same name.
-
E.
Good
Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e91f1bb881909a9c36d837e4059b |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.