Triple

T10683479
Position Surface form Disambiguated ID Type / Status
Subject Post Consumer Brands E251814 entity
Predicate brand P1500 FINISHED
Object Pebbles
Pebbles is a popular line of sweet, colorful breakfast cereals inspired by The Flintstones cartoon characters.
 E878389 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: Pebbles | Statement: [Post Consumer Brands, brand, Pebbles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pebbles
Context triple: [Post Consumer Brands, brand, Pebbles]
  • A. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • B. The Pete
    The Pete is a multi-purpose indoor arena at the University of Pittsburgh known primarily as the home venue for the Pittsburgh Panthers basketball teams.
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Little One
    "Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
  • E. Tiny Soderball
    Tiny Soderball is a minor character in Willa Cather’s novel "My Ántonia," known as a practical, ambitious immigrant girl who rises from hired help to financial success during the Western frontier era.
  • 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: Pebbles
Triple: [Post Consumer Brands, brand, Pebbles]
Generated description
Pebbles is a popular line of sweet, colorful breakfast cereals inspired by The Flintstones cartoon characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pebbles
Target entity description: Pebbles is a popular line of sweet, colorful breakfast cereals inspired by The Flintstones cartoon characters.
  • A. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • B. The Pete
    The Pete is a multi-purpose indoor arena at the University of Pittsburgh known primarily as the home venue for the Pittsburgh Panthers basketball teams.
  • C. Little One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • D. Little One
    "Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
  • E. Tiny Soderball
    Tiny Soderball is a minor character in Willa Cather’s novel "My Ántonia," known as a practical, ambitious immigrant girl who rises from hired help to financial success during the Western frontier era.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9888cf7b481909de6a4fecb48cf4b completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.