Triple

T12062137
Position Surface form Disambiguated ID Type / Status
Subject Matthew Quay E287198 entity
Predicate familyName P18 FINISHED
Object Quay
Quay is a surname most notably associated with Matthew Quay, an influential 19th-century American politician and U.S. Senator from Pennsylvania.
 E965266 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: Quay | Statement: [Matthew Quay, familyName, Quay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quay
Context triple: [Matthew Quay, familyName, Quay]
  • A. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • B. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • C. Pirae
    Pirae is the surname of Marcus Jean Pirae, an actor known for roles in science fiction and action films.
  • D. Bukh
    Bukh is the traditional national style of Mongolian wrestling, known for its strength-focused grappling and deep cultural significance in Mongolia.
  • E. Ponda
    Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
  • 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: Quay
Triple: [Matthew Quay, familyName, Quay]
Generated description
Quay is a surname most notably associated with Matthew Quay, an influential 19th-century American politician and U.S. Senator from Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quay
Target entity description: Quay is a surname most notably associated with Matthew Quay, an influential 19th-century American politician and U.S. Senator from Pennsylvania.
  • A. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • B. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • C. Pirae
    Pirae is the surname of Marcus Jean Pirae, an actor known for roles in science fiction and action films.
  • D. Bukh
    Bukh is the traditional national style of Mongolian wrestling, known for its strength-focused grappling and deep cultural significance in Mongolia.
  • E. Ponda
    Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.