Triple

T11805322
Position Surface form Disambiguated ID Type / Status
Subject John D. Sloat E280731 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John D. Sloat, a U.S. naval officer known for claiming California for the United States during the Mexican–American War.
E949682 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 D. Sloat, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John D. Sloat, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
  • C. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • D. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • E. John
    John is the common given name of American author and YouTube creator John Green, known for novels like "The Fault in Our Stars" and for co-founding the Vlogbrothers channel.
  • 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 D. Sloat, givenName, John]
Generated description
John is the given name of John D. Sloat, a U.S. naval officer known for claiming California for the United States during the Mexican–American War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John D. Sloat, a U.S. naval officer known for claiming California for the United States during the Mexican–American War.
  • A. John
    John is the given name of John C. Frémont, a 19th-century American explorer, military officer, and politician who was the first Republican nominee for U.S. president.
  • B. John
    John is the given name of John Lloyd Stephens, the 19th-century American explorer, writer, and diplomat renowned for his pioneering documentation of Maya civilization.
  • C. John
    John is the given name of John Moors Cabot, an American diplomat and member of the prominent Cabot family.
  • D. John
    John is the given name of John Frank Stevens, the American civil engineer best known for his pivotal role in the construction of the Panama Canal.
  • E. John
    John is the given name of John Muir, the influential Scottish-American naturalist and conservationist known as the "Father of the National Parks."
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166dbcb848190a5942ec00a2ca2f9 completed April 29, 2026, 2:03 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: April 8, 2026, 9:42 p.m.