Triple

T91580
Position Surface form Disambiguated ID Type / Status
Subject Eastman Johnson E1839 entity
Predicate familyName P18 FINISHED
Object Johnson
Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
 E33363 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: Johnson | Statement: [Eastman Johnson, familyName, Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johnson
Context triple: [Eastman Johnson, familyName, Johnson]
  • A. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • B. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • C. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Lincoln
    Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
  • 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: Johnson
Triple: [Eastman Johnson, familyName, Johnson]
Generated description
Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johnson
Target entity description: Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • A. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • B. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • C. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Lincoln
    Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24faa6d608190920c8fc144e85e21 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3794f5ea4819093c481d8155f6f50 completed Feb. 28, 2026, 11:25 p.m.
NEDg Description generation batch_69a379bb6adc8190a07176567d8772cd completed Feb. 28, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69a37a227b0c8190afc5c44192ef5a86 completed Feb. 28, 2026, 11:28 p.m.
Created at: Feb. 28, 2026, 2:07 a.m.