Triple

T753925
Position Surface form Disambiguated ID Type / Status
Subject Newell Brands E15510 entity
Predicate hasBrand P1500 FINISHED
Object Oster
Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
 E88634 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: Oster | Statement: [Newell Brands, hasBrand, Oster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oster
Context triple: [Newell Brands, hasBrand, Oster]
  • A. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • B. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • C. Hanukkiah
    A Hanukkiah is a nine-branched candelabrum used specifically during the Jewish festival of Hanukkah, featuring eight lights for each night of the holiday plus a separate helper candle (shamash).
  • D. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • E. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • 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: Oster
Triple: [Newell Brands, hasBrand, Oster]
Generated description
Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oster
Target entity description: Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
  • A. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • B. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • C. Hanukkiah
    A Hanukkiah is a nine-branched candelabrum used specifically during the Jewish festival of Hanukkah, featuring eight lights for each night of the holiday plus a separate helper candle (shamash).
  • D. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • E. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65555e7748190b2a55548e4058bc1 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a656d5f28481908ff3fd5fb71b1440 completed March 3, 2026, 3:34 a.m.
Created at: March 1, 2026, 7:37 p.m.