Triple

T19054114
Position Surface form Disambiguated ID Type / Status
Subject John J. Eagan E466345 entity
Predicate givenName P17 FINISHED
Object John
John is a masculine given name of Hebrew origin, widely 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 J. Eagan, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John J. Eagan, givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John Cornford, a British poet and communist who was killed while fighting in the Spanish Civil War.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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 J. Eagan, givenName, John]
Generated description
John is a masculine 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: John
Target entity description: John is a masculine given name of Hebrew origin, widely 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 the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • E. 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.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c543208481908bd663c7bdd9c059 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c64645a88190823143ee9d9c711c completed May 14, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_6a05c6cc1d3481908beb2c4b71280b43 completed May 14, 2026, 12:57 p.m.
Created at: April 10, 2026, 12:03 p.m.