Triple

T662937
Position Surface form Disambiguated ID Type / Status
Subject Aunt Polly E11795 entity
Predicate hasLastName P18 FINISHED
Object Phelps
Phelps is a surname that may refer to various individuals, including fictional characters such as Aunt Polly from classic literature.
 E82986 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: Phelps | Statement: [Aunt Polly, hasLastName, Phelps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phelps
Context triple: [Aunt Polly, hasLastName, Phelps]
  • A. Jon Ledecky
    Jon Ledecky is an American businessman and investor best known as a co-owner of the NHL’s New York Islanders.
  • B. Mark Spitz
    Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
  • C. Rafer Johnson
    Rafer Johnson was an American decathlete and Olympic gold medalist who became a prominent figure in sports and public service.
  • D. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • E. Phips
    Phips is a surname most notably associated with Sir William Phips, the first royally appointed governor of the Province of Massachusetts Bay in the late 17th century.
  • 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: Phelps
Triple: [Aunt Polly, hasLastName, Phelps]
Generated description
Phelps is a surname that may refer to various individuals, including fictional characters such as Aunt Polly from classic literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phelps
Target entity description: Phelps is a surname that may refer to various individuals, including fictional characters such as Aunt Polly from classic literature.
  • A. Jon Ledecky
    Jon Ledecky is an American businessman and investor best known as a co-owner of the NHL’s New York Islanders.
  • B. Mark Spitz
    Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
  • C. Rafer Johnson
    Rafer Johnson was an American decathlete and Olympic gold medalist who became a prominent figure in sports and public service.
  • D. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • E. Phips
    Phips is a surname most notably associated with Sir William Phips, the first royally appointed governor of the Province of Massachusetts Bay in the late 17th century.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd081e8819097f289961f5eff29 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c398cc748190ab720263096064ef completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4523e8081909464ca227b880e77 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cdae65808190b7191f63d5f16d9f completed March 2, 2026, 5:49 p.m.
Created at: March 1, 2026, 7:36 p.m.