Triple

T10256687
Position Surface form Disambiguated ID Type / Status
Subject Charles Bebb E240487 entity
Predicate familyName P18 FINISHED
Object Bebb
Bebb is a surname most notably associated with Charles Bebb, an influential architect in the early development of Seattle’s built environment.
 E854084 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: Bebb | Statement: [Charles Bebb, familyName, Bebb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bebb
Context triple: [Charles Bebb, familyName, Bebb]
  • A. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • B. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • C. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • D. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • E. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • 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: Bebb
Triple: [Charles Bebb, familyName, Bebb]
Generated description
Bebb is a surname most notably associated with Charles Bebb, an influential architect in the early development of Seattle’s built environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bebb
Target entity description: Bebb is a surname most notably associated with Charles Bebb, an influential architect in the early development of Seattle’s built environment.
  • A. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • B. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • C. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • D. Bibby
    Bibby is a surname most prominently associated with former NBA point guard Mike Bibby.
  • E. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24d299881909615872e2777bdea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e153b0819084708b6f7127cdea completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:30 a.m.