Triple
T15835650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Polis |
E383976
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
BlueMountain.com
BlueMountain.com is an early online greeting card and e-card website that became one of the internet’s first notable digital card services.
|
E1180478
|
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: BlueMountain.com | Statement: [Jared Polis, founded, BlueMountain.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BlueMountain.com Context triple: [Jared Polis, founded, BlueMountain.com]
-
A.
Snow Peak
Snow Peak is the English translation of the French name "Piton des Neiges," a prominent volcanic mountain on Réunion Island in the Indian Ocean.
-
B.
Silver Peak
Silver Peak is a small historic mining town in Nevada known for its lithium production and remote desert setting.
-
C.
Pine Outfitters
Pine Outfitters is a fashion and lifestyle brand founded by Daniel Neeson, known for its modern, outdoors-inspired apparel and accessories.
-
D.
Harney
Harney is a surname of Irish origin borne by various notable individuals, including military figures and public officials.
-
E.
Blue Mountain
Blue Mountain is a prominent ridge of the Appalachian Mountains in eastern Pennsylvania, forming a major natural barrier and scenic landmark across the region.
- 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: BlueMountain.com Triple: [Jared Polis, founded, BlueMountain.com]
Generated description
BlueMountain.com is an early online greeting card and e-card website that became one of the internet’s first notable digital card services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BlueMountain.com Target entity description: BlueMountain.com is an early online greeting card and e-card website that became one of the internet’s first notable digital card services.
-
A.
Snow Peak
Snow Peak is the English translation of the French name "Piton des Neiges," a prominent volcanic mountain on Réunion Island in the Indian Ocean.
-
B.
Silver Peak
Silver Peak is a small historic mining town in Nevada known for its lithium production and remote desert setting.
-
C.
Pine Outfitters
Pine Outfitters is a fashion and lifestyle brand founded by Daniel Neeson, known for its modern, outdoors-inspired apparel and accessories.
-
D.
Harney
Harney is a surname of Irish origin borne by various notable individuals, including military figures and public officials.
-
E.
Blue Mountain
Blue Mountain is a prominent ridge of the Appalachian Mountains in eastern Pennsylvania, forming a major natural barrier and scenic landmark across the region.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e0e1cc8190851b30b03cf9c9b8 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa137be2c81909c8f04b5cc1a5b21 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa527af048190b1f87d85e50bf254 |
completed | May 9, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5df00e481909e203e78940395ed |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:49 a.m.