Triple

T7148191
Position Surface form Disambiguated ID Type / Status
Subject Jeb E166621 entity
Predicate shortFormOf P43 FINISHED
Object James
James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
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: [Jeb, shortFormOf, James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James
Context triple: [Jeb, shortFormOf, James]
  • A. John
    John R. Klauder is an American theoretical physicist known for his contributions to quantum field theory, coherent states, and functional analysis.
  • B. John
    John is the given name of John Landy, the Australian middle-distance runner famed for being the second man to break the four-minute mile and later serving as Governor of Victoria.
  • C. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • D. John
    John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
  • E. John
    John is the given name of John Sculley, the former Apple CEO and prominent American business executive.
  • 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: [Jeb, shortFormOf, James]
Generated description
James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James
Target entity description: James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
  • A. James chosen
    James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
  • B. James
    James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
  • C. James
    James is a New Testament epistle traditionally attributed to James the brother of Jesus, emphasizing practical Christian ethics and the relationship between faith and works.
  • D. James
    James is a common English surname of Hebrew origin, widely borne by notable figures in sports, politics, and the arts.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • F. None of above.

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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d6313c8190bdd34e700fc65502 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf817e4c819098268479f3fb181f completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c0f068b88190b0d28e4ad38590e6 completed March 28, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_69c7c14c167c8190aad05c3eb03bb54d completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:46 p.m.