Triple
T2500442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dell |
E52450
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Precision
Precision is Dell’s line of high-performance workstation computers designed for professional workloads such as engineering, 3D modeling, and content creation.
|
E272493
|
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: Precision | Statement: [Dell, brand, Precision]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Precision Context triple: [Dell, brand, Precision]
-
A.
Sharpness
Sharpness is a small port village in Gloucestershire, England, situated on the River Severn and known historically as a key inland dock and terminus for canal traffic.
-
B.
Pace
Pace is a company based at the Granta Park science and business campus, likely involved in technology or life sciences.
-
C.
Pace
Pace is a popular American brand best known for its chunky salsas and Mexican-style sauces.
-
D.
Focus
"Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
-
E.
Speed
Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
- 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: Precision Triple: [Dell, brand, Precision]
Generated description
Precision is Dell’s line of high-performance workstation computers designed for professional workloads such as engineering, 3D modeling, and content creation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Precision Target entity description: Precision is Dell’s line of high-performance workstation computers designed for professional workloads such as engineering, 3D modeling, and content creation.
-
A.
Sharpness
Sharpness is a small port village in Gloucestershire, England, situated on the River Severn and known historically as a key inland dock and terminus for canal traffic.
-
B.
Pace
Pace is a company based at the Granta Park science and business campus, likely involved in technology or life sciences.
-
C.
Pace
Pace is a popular American brand best known for its chunky salsas and Mexican-style sauces.
-
D.
Focus
"Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
-
E.
Speed
Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1b144a481909b1f8d96742a92e7 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa0e26481908e383a6d44b3f3d5 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af204c84c48190b56ee7c00bf2f996 |
completed | March 9, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af20fa30948190b2408ad9eefce79b |
completed | March 9, 2026, 7:35 p.m. |
Created at: March 6, 2026, 9:46 p.m.