Triple
T14117005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounty |
E339798
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object | Bounty Essentials |
E339798
|
NE 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: Bounty Essentials | Statement: [Bounty, hasProductVariant, Bounty Essentials]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bounty Essentials Context triple: [Bounty, hasProductVariant, Bounty Essentials]
-
A.
Bounty
chosen
Bounty is a popular Procter & Gamble paper towel brand known for its high absorbency and durability.
-
B.
Bounty & Full
Bounty & Full is Kelis’s artisanal food brand known for its gourmet sauces and culinary products inspired by global flavors.
-
C.
Bounty Killer
Bounty Killer is a Jamaican dancehall and reggae deejay known for his gritty delivery, influential 1990s hits, and role in shaping hardcore dancehall music.
-
D.
Bounty Trough
Bounty Trough is a large submarine trough in the southwest Pacific Ocean, forming a major undersea geological feature off the coast of New Zealand.
-
E.
Bunch
Bunch is the surname of Lonnie G. Bunch III, the American historian and museum director who became the 14th Secretary of the Smithsonian Institution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.