Triple

T532569
Position Surface form Disambiguated ID Type / Status
Subject Reginald Dyer E12254 entity
Predicate familyName P18 FINISHED
Object Dyer
Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
 E69219 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: Dyer | Statement: [Reginald Dyer, familyName, Dyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dyer
Context triple: [Reginald Dyer, familyName, Dyer]
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • C. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • D. Goodhue
    Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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: Dyer
Triple: [Reginald Dyer, familyName, Dyer]
Generated description
Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dyer
Target entity description: Dyer is a surname most infamously associated with British officer Reginald Dyer, known for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • D. Goodhue
    Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494e0ab1881909d0cea4dfaa34b0a completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f1e5908190850594ccb37f364a completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e45cc06c8190901ab3d5182be133 completed March 2, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69a4e4b1ea148190a160dc43727a281a completed March 2, 2026, 1:15 a.m.
Created at: March 1, 2026, 7:32 p.m.