Triple

T9165055
Position Surface form Disambiguated ID Type / Status
Subject Bill Gerber E219931 entity
Predicate familyName P18 FINISHED
Object Gerber
Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
 E782505 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: [Bill Gerber, familyName, Gerber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerber
Context triple: [Bill Gerber, familyName, Gerber]
  • A. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • B. 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.
  • C. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • D. Baby-O
    Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
  • E. Comer Children’s
    Comer Children’s is a pediatric hospital affiliated with the University of Chicago that provides specialized medical care for infants, children, and adolescents.
  • 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: [Bill Gerber, familyName, Gerber]
Generated description
Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerber
Target entity description: Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
  • A. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • B. 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.
  • C. Playtex
    Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
  • D. Baby-O
    Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
  • E. Comer Children’s
    Comer Children’s is a pediatric hospital affiliated with the University of Chicago that provides specialized medical care for infants, children, and adolescents.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ee64c8190a9a5abafe5d0b086 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05484c2688190a5c64b5b54bedbb5 completed April 4, 2026, midnight
NEDg Description generation batch_69d0572b4d748190af34f7157aa4d7cd completed April 4, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69d057901d148190b663b36cc1dc3862 completed April 4, 2026, 12:13 a.m.
Created at: March 30, 2026, 7:22 p.m.