Triple
T15835651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Polis |
E383976
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
ProFlowers
ProFlowers is an online flower and gift delivery company known for shipping fresh-cut flowers directly from growers to consumers.
|
E1180479
|
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: ProFlowers | Statement: [Jared Polis, founded, ProFlowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ProFlowers Context triple: [Jared Polis, founded, ProFlowers]
-
A.
Teleflora
Teleflora is a major floral wire service company that partners with local florists to deliver arranged flower bouquets and gifts.
-
B.
Kara’s Flowers
Kara’s Flowers was an American alternative rock band from Los Angeles that later evolved into the pop-rock group Maroon 5.
-
C.
Wayland Flowers
Wayland Flowers was an American ventriloquist and comedian best known for his flamboyant puppet character Madame, a fixture of 1970s and 1980s television and nightclub entertainment.
-
D.
Marché aux Fleurs
Marché aux Fleurs is a famous open-air flower market in Nice, France, known for its colorful stalls and traditional Provençal atmosphere.
-
E.
Bouquet
"Bouquet" is the debut extended play (EP) by American DJ duo The Chainsmokers, featuring their breakthrough hit "Roses."
- 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: ProFlowers Triple: [Jared Polis, founded, ProFlowers]
Generated description
ProFlowers is an online flower and gift delivery company known for shipping fresh-cut flowers directly from growers to consumers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ProFlowers Target entity description: ProFlowers is an online flower and gift delivery company known for shipping fresh-cut flowers directly from growers to consumers.
-
A.
Teleflora
Teleflora is a major floral wire service company that partners with local florists to deliver arranged flower bouquets and gifts.
-
B.
Kara’s Flowers
Kara’s Flowers was an American alternative rock band from Los Angeles that later evolved into the pop-rock group Maroon 5.
-
C.
Wayland Flowers
Wayland Flowers was an American ventriloquist and comedian best known for his flamboyant puppet character Madame, a fixture of 1970s and 1980s television and nightclub entertainment.
-
D.
Marché aux Fleurs
Marché aux Fleurs is a famous open-air flower market in Nice, France, known for its colorful stalls and traditional Provençal atmosphere.
-
E.
Bouquet
"Bouquet" is the debut extended play (EP) by American DJ duo The Chainsmokers, featuring their breakthrough hit "Roses."
- 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.