Triple

T6380
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Roosevelt E128 entity
Predicate givenName P17 FINISHED
Object Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
 E3764 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: Anna | Statement: [Eleanor Roosevelt, givenName, Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anna
Context triple: [Eleanor Roosevelt, givenName, Anna]
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Maxine Singer
    Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
  • 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: Anna
Triple: [Eleanor Roosevelt, givenName, Anna]
Generated description
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anna
Target entity description: Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • A. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • B. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Maxine Singer
    Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a23ff0650c8190bea8724de0343e58 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e52b304819094ffde051ec9bde3 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24ede3374819089e7fae28c6c9d63 completed Feb. 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69a24fc8a2a881909e5ae2e03757fbec completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.