Triple
T804978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Science LLC |
E17409
|
entity |
| Predicate | rewardType |
P7916
|
FINISHED |
| Object | gift cards via Honey Gold |
—
|
LITERAL FINISHED |
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: gift cards via Honey Gold | Statement: [Honey Science LLC, rewardType, gift cards via Honey Gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardType Context triple: [Honey Science LLC, rewardType, gift cards via Honey Gold]
-
A.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
typeOfIncentive
chosen
Indicates the specific kind or category of incentive associated with an entity or action.
-
C.
winnerReceives
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardSymbol
Indicates that one entity serves as the symbolic representation or emblem associated with a particular award given to another entity.
- F. None of above.
Provenance (3 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
Created at: March 1, 2026, 7:38 p.m.