Triple

T11286287
Position Surface form Disambiguated ID Type / Status
Subject Jane Contee E267197 entity
Predicate familyName P18 FINISHED
Object Contee
Contee is a surname of English origin borne by various individuals, including members of early American colonial families.
E915494 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: Contee | Statement: [Jane Contee, familyName, Contee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Contee
Context triple: [Jane Contee, familyName, Contee]
  • A. Magleby
    Magleby is a small Danish village located on the island of Møn.
  • B. Bayard Forrest
    Bayard Forrest is a former American professional basketball player who played as a center in the NBA during the late 1970s and early 1980s.
  • C. Georges de Beauregard
    Georges de Beauregard was a prominent French film producer best known for backing key works of the French New Wave, including several films by Jean-Luc Godard.
  • D. Blue Jacket
    Blue Jacket was a prominent Shawnee war chief who led Native American resistance against United States expansion in the late 18th century.
  • E. Macdonough
    Macdonough is a surname most notably associated with Thomas Macdonough, a distinguished early 19th-century U.S. naval officer and War of 1812 hero.
  • 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: Contee
Triple: [Jane Contee, familyName, Contee]
Generated description
Contee is a surname of English origin borne by various individuals, including members of early American colonial families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Contee
Target entity description: Contee is a surname of English origin borne by various individuals, including members of early American colonial families.
  • A. Magleby
    Magleby is a small Danish village located on the island of Møn.
  • B. Bayard Forrest
    Bayard Forrest is a former American professional basketball player who played as a center in the NBA during the late 1970s and early 1980s.
  • C. Georges de Beauregard
    Georges de Beauregard was a prominent French film producer best known for backing key works of the French New Wave, including several films by Jean-Luc Godard.
  • D. Blue Jacket
    Blue Jacket was a prominent Shawnee war chief who led Native American resistance against United States expansion in the late 18th century.
  • E. Macdonough
    Macdonough is a surname most notably associated with Thomas Macdonough, a distinguished early 19th-century U.S. naval officer and War of 1812 hero.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:32 p.m.