Triple

T14379473
Position Surface form Disambiguated ID Type / Status
Subject Sylvester Pendleton Clark E356562 entity
Predicate middleName P143 FINISHED
Object Pendleton
Pendleton is a masculine given name and surname of English origin, historically associated with various notable American figures.
E1096060 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: Pendleton | Statement: [Sylvester Pendleton Clark, middleName, Pendleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pendleton
Context triple: [Sylvester Pendleton Clark, middleName, Pendleton]
  • A. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • B. Pendleton
    Pendleton is a small city in northeastern Oregon known for its historic downtown, Native American cultural heritage, and the annual Pendleton Round-Up rodeo.
  • C. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • D. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • E. Paxton
    Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
  • 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: Pendleton
Triple: [Sylvester Pendleton Clark, middleName, Pendleton]
Generated description
Pendleton is a masculine given name and surname of English origin, historically associated with various notable American figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pendleton
Target entity description: Pendleton is a masculine given name and surname of English origin, historically associated with various notable American figures.
  • A. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • B. Pendleton
    Pendleton is a small city in northeastern Oregon known for its historic downtown, Native American cultural heritage, and the annual Pendleton Round-Up rodeo.
  • C. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • D. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • E. Paxton
    Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c590660819090652e75418f2747 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.