Triple

T2784810
Position Surface form Disambiguated ID Type / Status
Subject Unilever E61784 entity
Predicate hasBrand P1500 FINISHED
Object Vaseline
Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
 E297556 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: Vaseline | Statement: [Unilever, hasBrand, Vaseline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vaseline
Context triple: [Unilever, hasBrand, Vaseline]
  • A. Cicaplast
    Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
  • B. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • C. Blistex
    Blistex is an American company best known for producing lip care and other medicated skin care products.
  • D. Uhu
    Uhu was the nickname of the Heinkel He 219, a German World War II night fighter aircraft notable for its advanced radar and effectiveness against Allied bombers.
  • E. Eight Hour Cream
    Eight Hour Cream is a classic multi-purpose skin protectant and moisturizer from Elizabeth Arden, renowned for soothing, hydrating, and healing dry or irritated skin.
  • 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: Vaseline
Triple: [Unilever, hasBrand, Vaseline]
Generated description
Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vaseline
Target entity description: Vaseline is a well-known skincare brand best recognized for its petroleum jelly products used to moisturize, protect, and heal dry or damaged skin.
  • A. Cicaplast
    Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
  • B. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • C. Blistex
    Blistex is an American company best known for producing lip care and other medicated skin care products.
  • D. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • E. Uhu
    Uhu was the nickname of the Heinkel He 219, a German World War II night fighter aircraft notable for its advanced radar and effectiveness against Allied bombers.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddaf223c8190959bb0b336e5b7c0 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0629e8c81909b55d9838e681ba2 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.