Triple
T11650813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reckitt Benckiser |
E276898
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Durex |
E726040
|
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: Durex | Statement: [Reckitt Benckiser, product, Durex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durex Context triple: [Reckitt Benckiser, product, Durex]
-
A.
Condom
Condom is a small historic town in southwestern France, known for its medieval architecture and location in the Armagnac-producing region.
-
B.
Soma Intimates
Soma Intimates is an American women’s lingerie and loungewear retailer known for its comfortable, body-inclusive bras, panties, sleepwear, and related apparel.
-
C.
Kotex
chosen
Kotex is a well-known feminine hygiene brand offering products such as sanitary pads, tampons, and liners.
-
D.
Ansell
Ansell is a minor character in the adventure video game "The Longest Journey," appearing as part of its richly detailed narrative world.
-
E.
Sheex
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.