Triple
T16836475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin Brewery |
E409294
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object |
Honey Dew
Honey Dew is a popular organic golden ale produced by the historic Griffin Brewery (Fuller's) in London.
|
E1237429
|
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: Honey Dew | Statement: [Griffin Brewery, associatedWithBrand, Honey Dew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey Dew Context triple: [Griffin Brewery, associatedWithBrand, Honey Dew]
-
A.
Honeydew
Honeydew is a small, remote community in Northern California’s Lost Coast region, known for its rugged landscape and isolation.
-
B.
Honeydew
Honeydew is a residential suburb in the northwestern part of Johannesburg, South Africa, known for its mix of housing estates, smallholdings, and growing commercial developments.
-
C.
Honey
Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
-
D.
Honey
"Honey" is a notable work by Ronald G. Brown, recognized within his contributions to mathematics.
-
E.
Honey
"Honey" is a song by Lenny Kravitz from his album *Blue Electric Light*, showcasing his signature blend of rock, soul, and funk.
- 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: Honey Dew Triple: [Griffin Brewery, associatedWithBrand, Honey Dew]
Generated description
Honey Dew is a popular organic golden ale produced by the historic Griffin Brewery (Fuller's) in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honey Dew Target entity description: Honey Dew is a popular organic golden ale produced by the historic Griffin Brewery (Fuller's) in London.
-
A.
Honeydew
Honeydew is a small, remote community in Northern California’s Lost Coast region, known for its rugged landscape and isolation.
-
B.
Honeydew
Honeydew is a residential suburb in the northwestern part of Johannesburg, South Africa, known for its mix of housing estates, smallholdings, and growing commercial developments.
-
C.
Honey
"Honey" is a song by Lenny Kravitz from his album *Blue Electric Light*, showcasing his signature blend of rock, soul, and funk.
-
D.
Honey
"Honey" is a soulful, R&B-infused single by American singer-songwriter Kehlani that showcases her smooth vocals and intimate, acoustic style.
-
E.
Honey
"Honey" is a 2003 dance drama film starring Jessica Alba as a hip-hop choreographer striving to make it in the music video industry while staying true to her community.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34d49d08190aa62f05d67244584 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb15c9f48190a4d73bb08a15beb4 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bc4cdf8481909ad45b9c66234c9b |
completed | May 10, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bcfcb434819092b85ce1debb9be8 |
completed | May 10, 2026, 5:14 p.m. |
Created at: April 10, 2026, 5:23 a.m.