Triple

T16275116
Position Surface form Disambiguated ID Type / Status
Subject Dylan Sprouse E395104 entity
Predicate familyName P18 FINISHED
Object Sprouse
Sprouse is the surname of American twin actors Dylan and Cole Sprouse, known for their work on Disney Channel and in film and television.
 E1204653 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: Sprouse | Statement: [Dylan Sprouse, familyName, Sprouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sprouse
Context triple: [Dylan Sprouse, familyName, Sprouse]
  • A. Reeser
    Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
  • B. Briscoe
    Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
  • C. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • D. Brunson
    Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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: Sprouse
Triple: [Dylan Sprouse, familyName, Sprouse]
Generated description
Sprouse is the surname of American twin actors Dylan and Cole Sprouse, known for their work on Disney Channel and in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sprouse
Target entity description: Sprouse is the surname of American twin actors Dylan and Cole Sprouse, known for their work on Disney Channel and in film and television.
  • A. Reeser
    Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
  • B. Briscoe
    Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
  • C. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • D. Brunson
    Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460d30608190a721aa845fcf7cf6 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001a35b43081909b44a22798b1ef1b completed May 10, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a001a93530c81908cb4180d9ebe9850 completed May 10, 2026, 5:41 a.m.
Created at: April 10, 2026, 5:05 a.m.