Triple
T12451950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexona |
E297552
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sure
Sure is a brand name used in certain markets for Rexona, a popular global antiperspirant and deodorant line owned by Unilever.
|
E985214
|
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: Sure | Statement: [Rexona, alsoKnownAs, Sure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sure Context triple: [Rexona, alsoKnownAs, Sure]
-
A.
Sure
"Sure" is a 1994 pop single by British boy band Take That, known for its smooth R&B-influenced sound and chart-topping success in the UK.
-
B.
Certainly
"Certainly" is a song best known as the B-side to the single "On & On."
-
C.
Safe
Safe is a 2012 action thriller film starring Jason Statham as a former elite agent who protects a young girl with a memorized code sought by the Triads, the Russian mob, and corrupt officials.
-
D.
Safe
Safe is a 1995 psychological drama film directed by Todd Haynes, in which Julianne Moore plays a suburban housewife who develops a mysterious environmental illness, exploring themes of alienation, illness, and societal anxiety.
-
E.
SAFE
SAFE is a World Customs Organization framework that sets global standards to enhance the security and efficiency of international trade and supply chains.
- 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: Sure Triple: [Rexona, alsoKnownAs, Sure]
Generated description
Sure is a brand name used in certain markets for Rexona, a popular global antiperspirant and deodorant line owned by Unilever.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sure Target entity description: Sure is a brand name used in certain markets for Rexona, a popular global antiperspirant and deodorant line owned by Unilever.
-
A.
Sure
"Sure" is a 1994 pop single by British boy band Take That, known for its smooth R&B-influenced sound and chart-topping success in the UK.
-
B.
Certainly
"Certainly" is a song best known as the B-side to the single "On & On."
-
C.
Safe
Safe is a 2012 action thriller film starring Jason Statham as a former elite agent who protects a young girl with a memorized code sought by the Triads, the Russian mob, and corrupt officials.
-
D.
Safe
Safe is a 1995 psychological drama film directed by Todd Haynes, in which Julianne Moore plays a suburban housewife who develops a mysterious environmental illness, exploring themes of alienation, illness, and societal anxiety.
-
E.
SAFE
SAFE is a World Customs Organization framework that sets global standards to enhance the security and efficiency of international trade and supply chains.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9fa5f0819080ca9f6efa212c59 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6412345ac8190826f4fecb8055fb5 |
completed | May 2, 2026, 6:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.