Triple

T21354592
Position Surface form Disambiguated ID Type / Status
Subject Daren Kagasoff E526582 entity
Predicate familyName P18 FINISHED
Object Kagasoff
Kagasoff is the surname of American actor Daren Kagasoff, best known for his role on the television series "The Secret Life of the American Teenager."
E1479841 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: Kagasoff | Statement: [Daren Kagasoff, familyName, Kagasoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagasoff
Context triple: [Daren Kagasoff, familyName, Kagasoff]
  • A. Kakisa
    Kakisa is a small Indigenous community in the South Slave Region of the Northwest Territories, Canada, known for its proximity to Kakisa Lake and traditional Dene culture.
  • B. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • C. Kagee
    Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
  • D. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • E. Gashin
    Gashin are household deities in Korean mythology that protect various aspects of the home and family life.
  • 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: Kagasoff
Triple: [Daren Kagasoff, familyName, Kagasoff]
Generated description
Kagasoff is the surname of American actor Daren Kagasoff, best known for his role on the television series "The Secret Life of the American Teenager."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kagasoff
Target entity description: Kagasoff is the surname of American actor Daren Kagasoff, best known for his role on the television series "The Secret Life of the American Teenager."
  • A. Kakisa
    Kakisa is a small Indigenous community in the South Slave Region of the Northwest Territories, Canada, known for its proximity to Kakisa Lake and traditional Dene culture.
  • B. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • C. Kagee
    Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
  • D. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • E. Gashin
    Gashin are household deities in Korean mythology that protect various aspects of the home and family life.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9be3a48190aa8e6e9a5b812981 completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6361b881908db56803d3109bf4 completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09adf244d481908bb02f99844f1cd0 completed May 17, 2026, noon
NED2 Entity disambiguation (via description) batch_6a09ae91d9cc8190a677124f1a0e1e4e completed May 17, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:06 p.m.