Triple

T2713
Position Surface form Disambiguated ID Type / Status
Subject Lee de Forest E51 entity
Predicate givenName P17 FINISHED
Object Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
E762 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: Lee | Statement: [Lee de Forest, givenName, Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee
Context triple: [Lee de Forest, givenName, Lee]
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • 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: Lee
Triple: [Lee de Forest, givenName, Lee]
Generated description
Lee is a given name shared by numerous individuals across different cultures and professions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lee
Target entity description: Lee is a given name shared by numerous individuals across different cultures and professions.
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • 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_69a22e0d37588190897cf37a323013f5 completed Feb. 27, 2026, 11:51 p.m.
NER Named-entity recognition batch_69a230c560548190a57df2421e233775 completed Feb. 28, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69a243c57fe481909b6c1b8f41757f96 completed Feb. 28, 2026, 1:24 a.m.
NEDg Description generation batch_69a2463a71188190a7252fae85f68711 completed Feb. 28, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69a246e74bfc8190ba3ea9818a55cc28 completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 27, 2026, 11:55 p.m.