Triple

T22448983
Position Surface form Disambiguated ID Type / Status
Subject John Walker E554938 entity
Predicate givenName P17 FINISHED
Object John
John is a masculine given name of Hebrew origin, commonly used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
E55602 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: John | Statement: [John Walker, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Walker, givenName, John]
  • A. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • B. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • C. John
    John I, Count Palatine of Simmern, was a 15th-century German nobleman of the House of Wittelsbach who ruled the Palatinate-Simmern region within the Holy Roman Empire.
  • D. John
    John of Brandenburg-Küstrin was a 16th-century German nobleman who ruled the Margraviate of Brandenburg-Küstrin and played a notable role in the politics of the Holy Roman Empire.
  • E. John
    John Manners, Marquess of Granby, was an 18th-century British soldier and popular military leader renowned for his service in the Seven Years' War and his enduring legacy in English pub names.
  • 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: John
Triple: [John Walker, givenName, John]
Generated description
John is a masculine given name of Hebrew origin, commonly 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: John
Target entity description: John is a masculine given name of Hebrew origin, commonly used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
  • A. John chosen
    John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary figures.
  • B. John
    John is a common English surname borne by numerous individuals across various fields and cultures.
  • C. John
    John is the given name of John Graunt, a 17th-century English statistician and demographer known for pioneering work in population statistics.
  • D. John
    John is the given name of John Houseman, the Romanian-born British-American actor and producer known for his work in film, theater, and radio.
  • E. John
    John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1250d25c819093035ffb85f2f62b completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14b7acac819090bfd6144df84be6 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b154f7e0c8190b0ca64d582982d62 completed May 18, 2026, 1:34 p.m.
Created at: April 16, 2026, 8:48 p.m.