Triple
T18255129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Ruan |
E437204
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Honey Science LLC |
—
|
NE NERFINISHED |
How this triple was built (2 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 Science LLC | Statement: [George Ruan, associatedWith, Honey Science LLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey Science LLC Context triple: [George Ruan, associatedWith, Honey Science LLC]
-
A.
Honey Science LLC
chosen
Honey Science LLC is a technology company best known for its browser extension that automatically finds and applies online shopping coupon codes and discounts.
-
B.
Honeygrow
Honeygrow is a fast-casual restaurant chain known for customizable stir-fries, salads, and noodle dishes made with fresh, locally sourced ingredients.
-
C.
Principal Honey
Principal Honey is a fictional school administrator character portrayed by actor Kerr Smith, best known from the TV series "Riverdale."
-
D.
Hatch Labs
Hatch Labs is a mobile technology incubator and startup studio best known for creating the popular dating app Tinder.
-
E.
Electric Honey
Electric Honey is a Scottish independent record label known for releasing early recordings by bands such as Snow Patrol and Belle and Sebastian.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.