Triple

T1613805
Position Surface form Disambiguated ID Type / Status
Subject Edward Hopper E34667 entity
Predicate familyName P18 FINISHED
Object Hopper
Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
 E183417 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: Hopper | Statement: [Edward Hopper, familyName, Hopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hopper
Context triple: [Edward Hopper, familyName, Hopper]
  • A. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • B. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • C. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • D. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • E. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • 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: Hopper
Triple: [Edward Hopper, familyName, Hopper]
Generated description
Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hopper
Target entity description: Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
  • A. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • B. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • C. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • D. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • E. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098e245c8190b0169b648434aa49 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51ca2bc48190abb83f4d84782334 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad55d41c048190a2d85dc19bc56242 completed March 8, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad564aed808190a58dbf3a84780255 completed March 8, 2026, 10:58 a.m.
Created at: March 4, 2026, 7:28 p.m.