Triple

T141414
Position Surface form Disambiguated ID Type / Status
Subject Bess Truman E2858 entity
Predicate nickname P55 FINISHED
Object Bess
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
 E16680 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: Bess | Statement: [Bess Truman, nickname, Bess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bess
Context triple: [Bess Truman, nickname, Bess]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • C. Bailey
    Bailey is the given first name of the renowned cryptographer Whitfield Diffie, a pioneer of public-key cryptography.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • 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: Bess
Triple: [Bess Truman, nickname, Bess]
Generated description
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bess
Target entity description: Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • C. Bailey
    Bailey is the given first name of the renowned cryptographer Whitfield Diffie, a pioneer of public-key cryptography.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c7e79c8190b3e5a2983035a972 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b85fe4d481909e39b745857b62e7 completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2b8fccfe081909f9b3d4c5f900a1c completed Feb. 28, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2b983d1d081909a850747695b8e0c completed Feb. 28, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.