Triple

T20483954
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Gratz Brown E502535 entity
Predicate middleName P143 FINISHED
Object Gratz
Gratz is the middle name of American politician Benjamin Gratz Brown, a 19th-century governor of Missouri and U.S. senator.
E1434629 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: Gratz | Statement: [Benjamin Gratz Brown, middleName, Gratz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gratz
Context triple: [Benjamin Gratz Brown, middleName, Gratz]
  • A. Eisenstadt
    Eisenstadt is the small capital city of the Austrian state of Burgenland, known for its historic connection to composer Joseph Haydn and the Esterházy family.
  • B. Pataskala, Ohio
    Pataskala, Ohio is a small city in Licking County that serves as a growing residential community east of Columbus.
  • C. State College, Pennsylvania
    State College, Pennsylvania is a central Pennsylvania borough best known as the home of Penn State University and its large college-town community.
  • D. Jeannette, Pennsylvania
    Jeannette, Pennsylvania is a small industrial city in southwestern Pennsylvania historically known for its glass manufacturing industry.
  • E. Haverford, Pennsylvania
    Haverford, Pennsylvania is a suburban community on Philadelphia’s Main Line known for its affluent residential character and as the home of Haverford College.
  • 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: Gratz
Triple: [Benjamin Gratz Brown, middleName, Gratz]
Generated description
Gratz is the middle name of American politician Benjamin Gratz Brown, a 19th-century governor of Missouri and U.S. senator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gratz
Target entity description: Gratz is the middle name of American politician Benjamin Gratz Brown, a 19th-century governor of Missouri and U.S. senator.
  • A. Eisenstadt
    Eisenstadt is the small capital city of the Austrian state of Burgenland, known for its historic connection to composer Joseph Haydn and the Esterházy family.
  • B. Pataskala, Ohio
    Pataskala, Ohio is a small city in Licking County that serves as a growing residential community east of Columbus.
  • C. State College, Pennsylvania
    State College, Pennsylvania is a central Pennsylvania borough best known as the home of Penn State University and its large college-town community.
  • D. Jeannette, Pennsylvania
    Jeannette, Pennsylvania is a small industrial city in southwestern Pennsylvania historically known for its glass manufacturing industry.
  • E. Haverford, Pennsylvania
    Haverford, Pennsylvania is a suburban community on Philadelphia’s Main Line known for its affluent residential character and as the home of Haverford College.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893afefc881909807cd3a2eb92fcf completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894753bb08190a9c07a9264b2b292 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08952b742c8190b00f806ab772e46d completed May 16, 2026, 4:02 p.m.
Created at: April 16, 2026, 11:34 a.m.