Triple

T13948240
Position Surface form Disambiguated ID Type / Status
Subject Harper Grace Burtka-Harris E335446 entity
Predicate givenName P17 FINISHED
Object Harper
Harper is a feminine given name of English origin that has become popular in recent years, often associated with literary and musical connotations.
 E1070973 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: Harper | Statement: [Harper Grace Burtka-Harris, givenName, Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harper
Context triple: [Harper Grace Burtka-Harris, givenName, Harper]
  • A. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • B. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • C. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • D. Harper
    Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
  • E. Harper
    "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • 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: Harper
Triple: [Harper Grace Burtka-Harris, givenName, Harper]
Generated description
Harper is a feminine given name of English origin that has become popular in recent years, often associated with literary and musical connotations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harper
Target entity description: Harper is a feminine given name of English origin that has become popular in recent years, often associated with literary and musical connotations.
  • A. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • B. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • C. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • D. Harper
    Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
  • E. Harper
    "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce917b7881908e1916fe2c597fe4 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf95e5a08190b264e543877d2852 completed May 3, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_69fb5504702081908a1492f1a8e24434 completed May 6, 2026, 2:49 p.m.
Created at: April 9, 2026, 10:17 p.m.