Triple

T6318169
Position Surface form Disambiguated ID Type / Status
Subject Jayme E141666 entity
Predicate relatedName P3889 FINISHED
Object James
James is a given name commonly used in English-speaking countries, derived from the Hebrew name Jacob 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: [Jayme, relatedName, James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James
Context triple: [Jayme, relatedName, James]
  • A. John
    John is the given name of John Strange Spencer-Churchill, a British Army officer and the younger brother of Prime Minister Winston Churchill.
  • B. John
    John is the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • C. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • D. John
    John is the husband of Martha Rainsborough.
  • E. John
    John is the first name of Johnny Carson, the iconic American television host and comedian best known for "The Tonight Show Starring Johnny Carson."
  • 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: [Jayme, relatedName, James]
Generated description
James is a given name commonly used in English-speaking countries, derived from the Hebrew name Jacob 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 given name commonly used in English-speaking countries, derived from the Hebrew name Jacob 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c38fe48190a71a4e5e1af19b10 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040714988190abbbadb4039966ef completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:29 p.m.