Triple

T3244024
Position Surface form Disambiguated ID Type / Status
Subject Procter & Gamble E68029 entity
Predicate hasBrand P1500 FINISHED
Object Oral-B
Oral-B is a leading oral care brand known for its toothbrushes, toothpaste, and dental hygiene products.
 E6182 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: Oral-B | Statement: [Procter & Gamble, hasBrand, Oral-B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oral-B
Context triple: [Procter & Gamble, hasBrand, Oral-B]
  • A. Gillette
    Gillette is a globally recognized American brand best known for its razors and shaving products.
  • B. Colgate-Palmolive
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • C. Crest
    Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
  • D. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • E. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • 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: Oral-B
Triple: [Procter & Gamble, hasBrand, Oral-B]
Generated description
Oral-B is a leading oral care brand known for its toothbrushes, toothpaste, and dental hygiene products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oral-B
Target entity description: Oral-B is a leading oral care brand known for its toothbrushes, toothpaste, and dental hygiene products.
  • A. Gillette
    Gillette is a globally recognized American brand best known for its razors and shaving products.
  • B. Colgate-Palmolive chosen
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • C. Crest
    Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
  • D. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • E. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • F. None of above.

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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1856708190b072efbb27920ade completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2775be7c88190ba60b191f1c51e19 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27846372c8190a5c96158bf2a5ff2 completed March 12, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69b2791ac4a08190a1cee3cfbca6e6d6 completed March 12, 2026, 8:28 a.m.
Created at: March 8, 2026, 3:08 p.m.