Triple

T9102541
Position Surface form Disambiguated ID Type / Status
Subject Kaley Cuoco E218392 entity
Predicate notableWork P4 FINISHED
Object Hop
Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
 E778245 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: Hop | Statement: [Kaley Cuoco, notableWork, Hop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hop
Context triple: [Kaley Cuoco, notableWork, Hop]
  • A. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • B. Hop
    Hop is the commonly used nickname for the Hopkins Center for the Arts at Dartmouth College, a major hub for performing and visual arts on campus.
  • 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. Hipp
    Hipp is the surname of D. Richard Hipp, an American computer programmer best known as the creator of the SQLite database engine.
  • 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: Hop
Triple: [Kaley Cuoco, notableWork, Hop]
Generated description
Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hop
Target entity description: Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
  • A. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • B. Hop
    Hop is the commonly used nickname for the Hopkins Center for the Arts at Dartmouth College, a major hub for performing and visual arts on campus.
  • 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. Hipp
    Hipp is the surname of D. Richard Hipp, an American computer programmer best known as the creator of the SQLite database engine.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9715d5188190bce68d095e10c2eb completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0183677cc8190b3140278f4c6de9c completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019666cb08190b66298ff86a7e1af completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a700ce48190868d445bde2462dc completed April 3, 2026, 7:52 p.m.
Created at: March 30, 2026, 7:15 p.m.