Triple

T7539973
Position Surface form Disambiguated ID Type / Status
Subject Alfred V. Aho E178249 entity
Predicate familyName P18 FINISHED
Object Aho
Aho is the surname of Alfred V. Aho, a prominent computer scientist known for his foundational work in algorithms, programming languages, and compiler design.
 E672017 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: Aho | Statement: [Alfred V. Aho, familyName, Aho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aho
Context triple: [Alfred V. Aho, familyName, Aho]
  • A. Ahoada
    Ahoada is a prominent town and administrative center in southern Nigeria, located in the oil-rich Niger Delta region.
  • B. Heman
    Heman is a masculine given name most notably borne by Heman Marion Sweatt, the civil rights figure at the center of the landmark U.S. Supreme Court case Sweatt v. Painter.
  • C. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • D. Enoe
    Enoe refers to the Eno people, a Native American group historically located in the Piedmont region of what is now North Carolina.
  • E. Anami
    Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
  • 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: Aho
Triple: [Alfred V. Aho, familyName, Aho]
Generated description
Aho is the surname of Alfred V. Aho, a prominent computer scientist known for his foundational work in algorithms, programming languages, and compiler design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aho
Target entity description: Aho is the surname of Alfred V. Aho, a prominent computer scientist known for his foundational work in algorithms, programming languages, and compiler design.
  • A. Ahoada
    Ahoada is a prominent town and administrative center in southern Nigeria, located in the oil-rich Niger Delta region.
  • B. Heman
    Heman is a masculine given name most notably borne by Heman Marion Sweatt, the civil rights figure at the center of the landmark U.S. Supreme Court case Sweatt v. Painter.
  • C. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • D. Enoe
    Enoe refers to the Eno people, a Native American group historically located in the Piedmont region of what is now North Carolina.
  • E. Anami
    Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f873b17081908bb70aea0010d072 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f14d20c8190ab254f991cec0d94 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853ab496c8190ad35c7c00eb82160 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c853f8e6808190bde26c01576cc22c completed March 28, 2026, 10:19 p.m.
Created at: March 27, 2026, 3:48 p.m.