Triple

T22694311
Position Surface form Disambiguated ID Type / Status
Subject Fiskars Corporation E561130 entity
Predicate hasBrand P1500 FINISHED
Object Gerber
Gerber is a well-known American brand recognized primarily for its baby food and infant nutrition products.
 E147265 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: Gerber | Statement: [Fiskars Corporation, hasBrand, Gerber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerber
Context triple: [Fiskars Corporation, hasBrand, Gerber]
  • A. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • B. Gerber
    Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
  • C. Gerber Products Company
    Gerber Products Company is a leading American baby food and infant nutrition brand known for its wide range of purees, cereals, and snacks for young children.
  • D. Gerber Group
    Gerber Group is a hospitality company best known for its stylish, high-end bars and lounges located in major cities and luxury hotels around the world.
  • E. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • 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: Gerber
Triple: [Fiskars Corporation, hasBrand, Gerber]
Generated description
Gerber is a well-known American brand recognized primarily for its baby food and infant nutrition products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerber
Target entity description: Gerber is a well-known American brand recognized primarily for its baby food and infant nutrition products.
  • A. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • B. Gerber
    Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
  • C. Gerber Products Company chosen
    Gerber Products Company is a leading American baby food and infant nutrition brand known for its wide range of purees, cereals, and snacks for young children.
  • D. Gerber Group
    Gerber Group is a hospitality company best known for its stylish, high-end bars and lounges located in major cities and luxury hotels around the world.
  • E. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ece75648190a841256cf08a72f8 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:14 p.m.