Triple

T3198
Position Surface form Disambiguated ID Type / Status
Subject James Roosevelt I E60 entity
Predicate givenName P17 FINISHED
Object James
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
 E1815 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: James | Statement: [James Roosevelt I, givenName, James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James
Context triple: [James Roosevelt I, givenName, James]
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. William
    William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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: James
Triple: [James Roosevelt I, givenName, James]
Generated description
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James
Target entity description: James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. William
    William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399c646c8190b4977ed56b8835a8 completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248d31b848190bad943bca271fca0 completed Feb. 28, 2026, 1:45 a.m.
NEDg Description generation batch_69a2496e8d8081908224d3b8c8e9281f completed Feb. 28, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69a24a20f1608190afcf1281c34eea76 completed Feb. 28, 2026, 1:51 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.