Triple

T4777412
Position Surface form Disambiguated ID Type / Status
Subject Helen Artie Belles E106084 entity
Predicate familyName P18 FINISHED
Object Belles
Belles is a surname of likely French origin borne by individuals such as Helen Artie Belles.
E469710 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: Belles | Statement: [Helen Artie Belles, familyName, Belles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belles
Context triple: [Helen Artie Belles, familyName, Belles]
  • A. Jazzy Belle
    "Jazzy Belle" is a soulful, introspective hip-hop track by OutKast that reflects on relationships, femininity, and personal growth.
  • B. The King Sisters
    The King Sisters were a popular American close-harmony vocal group, prominent from the 1930s through the 1950s, known for their radio, film, and big band performances.
  • C. Ellies
    The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
  • D. The Gossips
    The Gossips is a 1948 Norman Rockwell painting that humorously depicts a chain of people passing along a piece of gossip, culminating with the originator confronted at the end.
  • E. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • 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: Belles
Triple: [Helen Artie Belles, familyName, Belles]
Generated description
Belles is a surname of likely French origin borne by individuals such as Helen Artie Belles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belles
Target entity description: Belles is a surname of likely French origin borne by individuals such as Helen Artie Belles.
  • A. Jazzy Belle
    "Jazzy Belle" is a soulful, introspective hip-hop track by OutKast that reflects on relationships, femininity, and personal growth.
  • B. The King Sisters
    The King Sisters were a popular American close-harmony vocal group, prominent from the 1930s through the 1950s, known for their radio, film, and big band performances.
  • C. Ellies
    The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
  • D. The Gossips
    The Gossips is a 1948 Norman Rockwell painting that humorously depicts a chain of people passing along a piece of gossip, culminating with the originator confronted at the end.
  • E. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65881e2c8190aa5b57759885b2bb completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43caec588190880c47f11d3f2daf completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be44df4e808190bb65ea205446a98f completed March 21, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69be45bc7b2c8190aa293d2c10077864 completed March 21, 2026, 7:16 a.m.
Created at: March 20, 2026, 1:21 p.m.