Triple

T13547395
Position Surface form Disambiguated ID Type / Status
Subject Kerry E323547 entity
Predicate spelling P457 FINISHED
Object K-e-r-r-y
K-e-r-r-y is a given name and surname commonly used in English-speaking countries, often associated with Irish heritage.
 E1046138 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: K-e-r-r-y | Statement: [Kerry, spelling, K-e-r-r-y]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-e-r-r-y
Context triple: [Kerry, spelling, K-e-r-r-y]
  • A. Kiepenkerl
    Kiepenkerl is a sculptural artwork by Jeff Koons that depicts a traditional German peddler figure in polished stainless steel, exemplifying his interest in banality and kitsch.
  • B. Keller
    Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
  • C. Keller
    Keller is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and strong public schools.
  • D. Klepper
    Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
  • E. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • 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: K-e-r-r-y
Triple: [Kerry, spelling, K-e-r-r-y]
Generated description
K-e-r-r-y is a given name and surname commonly used in English-speaking countries, often associated with Irish heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-e-r-r-y
Target entity description: K-e-r-r-y is a given name and surname commonly used in English-speaking countries, often associated with Irish heritage.
  • A. Kiepenkerl
    Kiepenkerl is a sculptural artwork by Jeff Koons that depicts a traditional German peddler figure in polished stainless steel, exemplifying his interest in banality and kitsch.
  • B. Keller
    Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
  • C. Keller
    Keller is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and strong public schools.
  • D. Klepper
    Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
  • E. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdb466881908fb46642dc66849d completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da2c2008190b43a653a349ea0c7 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ed5457c819093081c6a22f13c91 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f7e9d2c81909ec5540b34ac97cb completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.