Triple

T12451953
Position Surface form Disambiguated ID Type / Status
Subject Rexona E297552 entity
Predicate alsoKnownAs P39 FINISHED
Object Rexena
Rexena is an alternative name for Rexona, a popular global brand of antiperspirant and deodorant products.
 E993477 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: Rexena | Statement: [Rexona, alsoKnownAs, Rexena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rexena
Context triple: [Rexona, alsoKnownAs, Rexena]
  • A. Rehna
    Rehna is a small town in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
  • B. Ruviana
    Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
  • C. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • D. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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: Rexena
Triple: [Rexona, alsoKnownAs, Rexena]
Generated description
Rexena is an alternative name for Rexona, a popular global brand of antiperspirant and deodorant products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rexena
Target entity description: Rexena is an alternative name for Rexona, a popular global brand of antiperspirant and deodorant products.
  • A. Rehna
    Rehna is a small town in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
  • B. Ruviana
    Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
  • C. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • D. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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_69f65ea710d481908371209cb92502a6 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:56 p.m.